1337 results about "Drain current" patented technology

The invention discloses a distribution network cable dielectric loss withstand voltage partial discharge intelligent detection and evaluation method and system, and relates to the technical field of power equipment state monitoring, and the method comprises the steps: synchronously collecting a dielectric loss spectrum, a withstand voltage leakage current curve and a partial discharge spectrum of a distribution network cable through a phase resolution measurement device; processing the partial discharge spectrum by using a frequency domain adaptive filter to generate a denoised partial discharge characteristic spectrum; constructing a cable multi-dimensional parameter normal domain hyperspherical model, and calculating a deviation distance value; and inputting the deviation distance value into a fuzzy inference engine, performing nonlinear conversion according to a preset fuzzy rule base, generating an insulation state evaluation index and a fault risk probability distribution diagram of the distribution network cable, and realizing accurate evaluation of the cable insulation state. According to the invention, the accurate evaluation of the cable insulation state and the accurate positioning of the fault position are realized, and the operation reliability and maintenance efficiency of the power distribution network are improved.

The invention provides a three-phase inverter direct current side electric leakage fault type discrimination method and electronic equipment, and the method comprises the steps: carrying out the frequency spectrum time sequence characteristic analysis of the residual current of the alternating current side of a three-phase inverter, and analyzing the change of the amplitude of the residual current along with the time under different frequencies; the fault type of the direct current side electric leakage of the inverter can be known; by performing continuous energy monitoring on the residual current signal of the inverter, real-time current monitoring on the inverter is realized, and sudden change of the fault type of electric leakage or instantaneous electric leakage can be well monitored and distinguished. Aiming at the specific characteristics of the harmonic component of the leakage current of the inverter, different frequency spectrum characteristics of the leakage current under different fault types are determined, the electric leakage fault type discrimination method based on harmonic time-frequency characteristic extraction is provided on the basis, the specific fault type of the inverter can be discriminated under various working conditions, the position of the electric leakage fault is further positioned, and the reliability of the inverter is improved. The problem of inaccurate electric leakage fault type judgment and positioning in the current engineering application is solved.

The invention provides a weak signal multi-module networking self-adaptive monitoring system for power transmission and transformation construction, and relates to the technical field of multi-module networking, and the system comprises a multi-mode module which is used for deploying a multi-mode sensing unit at a key monitoring point of power transmission and transformation equipment, collecting vibration, partial discharge, leakage current and environmental parameter signals, and transmitting the signals to a monitoring center; the signals are processed through packaging of an electromagnetic shielding shell and a built-in harmonic filter circuit so as to obtain original monitoring signal data; and the detection module is used for inputting the original monitoring signal data into the chaotic enhanced weak signal detection device, and extracting a fault feature vector by capturing an attractor phase diagram abrupt change and a time domain waveform threshold. Through the multi-mode sensing and self-adaptive networking technology, monitoring of power transmission and transformation weak signals and timely extraction of fault features are achieved, and the fault early warning accuracy and the self-adaptive capacity are improved.

The invention discloses a leakage current monitoring and early warning system based on current monitoring of a new energy photovoltaic inverter, and belongs to the technical field of leakage current monitoring. The invention discloses a leakage current monitoring and early warning system based on current monitoring of a new energy photovoltaic inverter, and the system comprises a sensing module, a data collection and preprocessing module, a central processing module, a multi-stage dynamic threshold module, a complex mode recognition module, and a multi-stage early warning module. And real-time early warning cannot be realized, and a complex leakage current mode cannot be identified. According to the environment parameters monitored in real time and the working state of the inverter, the threshold value of the leakage current is dynamically adjusted, the complex leakage current mode is recognized by adopting a machine learning and mode recognition algorithm in combination with the comprehensive analysis result of the zero-sequence current, the phase and the frequency parameters, and the reliability of the inverter is improved. The multi-level early warning module can give alarms of different levels according to the degree of the leakage current.

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 provides a circuit board electrical performance test and diagnosis method, which comprises the following steps of: constructing a structured process-electrical data set by collecting process parameters such as etching time, pressing temperature, drilling precision, copper foil thickness and the like and electrical test indexes such as impedance deviation, leakage current, signal attenuation and the like; screening key process variables by adopting mutual information analysis and a maximum correlation-minimum redundancy criterion; through modeling of a three-layer causal diagram and a structural equation, quantitative influence evaluation of process parameters on electrical performance and fault types is realized; when a fault is detected, the system can automatically perform reverse reasoning, identify a main manufacturing deviation item and generate attribution diagnosis and process optimization suggestions, so that the accuracy of fault diagnosis and the pertinence of process adjustment are improved, and the fault occurrence rate is reduced and the product quality is improved.

The invention discloses a method and system for measuring earth differential leakage current of a GIS shell, and relates to the technical field of leakage current detection, and the method comprises the steps: arranging a point position optimization scheme based on a sensor, arranging a current sensor, and synchronously obtaining a current signal collected by the current sensor; filtering the collected current signal by using a self-adaptive differential filter to obtain a real leakage current signal result; and performing real-time detection and analysis on signals of different frequency bands of a real leakage current signal result by using a multi-stage frequency domain filter. Based on a method of combining adaptive differential filtering, multi-sensor fusion, multi-frequency-domain analysis and intelligent threshold detection, the leakage current signal can still be accurately identified and extracted in a complex noise environment through the test of an analog signal, and the reliability and effectiveness of GIS equipment monitoring are guaranteed.

The invention particularly relates to a leakage current testing method, device and system for an intelligent circuit breaker, and relates to the technical field of electrical safety detection. A composite signal generation and injection module; a broadband signal acquisition and conditioning module; and a line fault positioning and impedance analysis module. According to the invention, the composite signal generation module realizes the non-interference isolation injection of a leakage current signal and a high-frequency positioning signal, and guarantees the high fidelity of data through adaptive filtering, multi-channel synchronous sampling and high-precision timing. The line positioning module integrates TDR and a frequency domain impedance method, and through multi-frequency point deviation correction and topology-GIS association, the fault type is accurately identified, and the test and troubleshooting period is significantly shortened.

The invention discloses a high-voltage cable operation state on-line monitoring, intelligent early warning and fault positioning system, particularly relates to the technical field of power equipment insulation monitoring, and is used for solving the problems that transient discharge signals generated in the cable insulation degradation process are difficult to effectively capture and accurate fault positioning cannot be realized in the prior art. The method comprises the following steps: collecting transient leakage current signals and traveling wave propagation characteristic parameters, performing phase correlation analysis on leakage current pulses and power frequency voltage to identify discharge types, and performing variational mode decomposition and Hilbert-Huang transform on the signals to respectively extract complexity characteristics and energy distribution characteristics; signal logic conflicts are judged by analyzing similarity and statistical distance among characteristics of a plurality of monitoring points, and collaborative diagnosis is started or traveling wave distance measurement is directly utilized to carry out insulation state evaluation and fault location. And finally, differential early warning levels are generated according to the diagnosis result, and fault line selection and positioning information is output to realize real-time monitoring, intelligent early warning and accurate positioning of the operation state of the high-voltage cable.

According to the SiC MOSFET global short circuit and overcurrent protection circuit and the control method thereof provided by the invention, when a short circuit fault occurs in the SiC MOSFET, the drain current ID is more than several times of the rated current of the SiC MOSFET. When a short circuit occurs, a transistor QDZ of the short circuit detection circuit is switched on by node voltage Vr of the resistance-capacitance filter circuit, a fault signal VFAULT is converted into a low level, grid voltage VGS output by the grid control unit is gradually converted into zero voltage from negative driving voltage VEE, and soft turn-off is performed on the SiC MOSFET; when an over-current fault occurs in the SiC MOSFET, drain current ID is higher than rated current, node voltage Vo of the resistance-capacitance filter circuit lasts for a long time, the maximum value of capacitor voltage Vch of the over-current detection circuit is higher than reference voltage Vref2, a fault signal VFAULT is converted into low level, grid voltage VGS output by the grid control unit is gradually converted into zero voltage from negative driving voltage VEE, and soft turn-off is performed on the SiC MOSFET. According to the invention, high-speed short circuit and over-current fault protection of the SiC MOSFET in all inductance regions of a commutation loop can be realized.

The invention belongs to the field of circuits, and particularly relates to an analog front-end circuit for capacitance detection and a current calibration method, the analog front-end circuit comprises a driving circuit, a to-be-detected capacitor, a chip signal input and output interface circuit, a current amplification circuit or charge amplification circuit, an integrating circuit and an analog-to-digital converter which are connected in sequence; the leakage current measurement and calibration controller is used for receiving a signal of the analog-to-digital converter and outputting a control signal for calibrating the leakage current to the current calibration circuit; the output end of the current calibration circuit is connected with the input end of the integrating circuit, and the current calibration circuit is used for adjusting the output of the current calibration circuit to calibrate the magnitude of the current input into the integrating circuit when receiving the control signal for calibrating the leakage current. According to the application, the leakage current measurement and calibration controller is arranged at the output end of the integrating circuit, the leakage current of the analog front-end circuit is measured, and the control signal is output to adjust the output of the current calibration circuit, so that the magnitude of the current input into the integrating circuit is calibrated, and errors caused by imbalance of the leakage current and the current of the amplifying circuit can be compensated.

The invention discloses a SiC MOSFET junction temperature monitoring circuit and monitoring method based on high-frequency oscillation suppression. The SiC MOSFET junction temperature monitoring circuit comprises a SiC MOSFET to be detected, a PCB mutual inductance coil, a high-frequency oscillation extraction unit, a grid adjustable driving unit and a junction temperature evaluation unit. According to the system, the oscillation time of the transient drain current of the SiC MOSFET switch is used as a temperature-sensitive electrical parameter to represent the junction temperature of the device, and the temperature sensitivity of the oscillation time can be improved by adjusting the grid amplifier to suppress high-frequency oscillation. According to the invention, the rapid detection of the junction temperature of the SiC MOSFET is realized, and the sensitivity of temperature-sensitive electrical parameters and the detection integration level are superior to those of a traditional junction temperature monitoring method.

The invention provides an endangered animal monitoring method based on a multi-mode floating gate type photoelectric synapse transistor, realizes multi-mode fusion of images (optical signals) and sounds (electric signals) by utilizing the light absorption capability of quantum dots and the high carrier mobility of a two-dimensional channel material, and belongs to the technical field of sensing, storage and calculation integration and endangered animal identification and monitoring. According to the method, a photoelectric synapse device is used as a reservoir, and input time sequence signals are respectively applied to a multi-mode fused photoelectric synapse transistor in the form of light and electric pulse. And along with the co-stimulation of light and electric pulse, the change response of source-drain current is generated, and the fusion processing of the multi-mode signal is realized. By adopting the method, a human multi-sensory fusion signal processing mode is successfully simulated, and accurate recognition under complex and changeable conditions can be realized by utilizing a mode of complementation of visual signals and auditory signals. Under an extreme environment or a high noise condition, edge processing and identification can be carried out on pictures and sounds of endangered animals, and a high-accuracy monitoring result can be obtained without a large amount of data return, so that the energy consumption is reduced and the monitoring efficiency is enhanced.

The invention provides a device for inhibiting drain-source overvoltage and overcurrent through active gate drive of a silicon carbide MOSFET (Metal-Oxide-Semiconductor Field Effect Transistor), aiming at solving the problem of voltage or current overshoot caused by circuit parasitic parameters in a high-speed switching process of the SiC MOSFET and simultaneously considering the switching speed and energy loss balance. According to the device, drain-source voltage vdc and direct-current bus voltage of the SiC MOSFET are collected to serve as feedback signals, and gate driving voltage and equivalent gate resistance are dynamically adjusted; in a key stage (a Miller plateau switching-on period and a voltage rising period switching-off period) of a switch transient state, a gate resistance network is switched through a logic control circuit, and suppression of drain current overshoot and drain-source voltage overshoot is realized. Simulation verification shows that the device can reduce voltage overshoot by 20%-30% and current overshoot by 25%-60%, only a single voltage feedback channel is needed, the cost is obviously lower than that of a traditional multi-signal acquisition active gate driving scheme, and the device is suitable for a high-efficiency SiC MOSFET power converter.

The invention relates to the technical field of electric power facility anomaly monitoring, in particular to a computer monitoring system anomaly monitoring method for large-scale electric power construction engineering, which comprises the following steps of: acquiring an insulator leakage current signal, a temperature signal and an ultrasonic signal, and calculating a corresponding energy gradient; calibrating the correlation coefficient of the sensor based on the physical characteristics of an insulator material, and calculating the dynamic weight according to the energy gradient, thereby achieving the dynamic weighting of a fault sensitive signal; generating a fusion reference signal through weighted summation; constructing a dynamic threshold by combining the thermal physical parameters of the equipment, the real-time signal characteristics and the environmental parameters; calculating a signal difference quantity between the original signal and the fusion signal, and if the signal difference quantity exceeds a dynamic threshold value, triggering abnormal early warning; noise influence on a single sensor is suppressed, the signal-to-noise ratio of a fusion signal is effectively improved, the problems of abnormal missing report and false report easily caused by a fixed threshold value are avoided, and the insulator abnormal detection precision is improved.

The invention discloses a converter transformer valve side bushing leakage current data preprocessing method based on improved wavelet transform, and relates to the technical field of insulation monitoring of transformer bushing equipment, and the method comprises the steps: obtaining transformer bushing leakage current data, and setting a state space, an action space and a reward function of reinforcement learning; selecting a wavelet basis function, and performing wavelet decomposition on the obtained leakage current data of the transformer bushing; and calculating the energy of each scale of the wavelet coefficient, and judging the energy threshold of each scale. According to the converter transformer valve side bushing leakage current data preprocessing method based on improved wavelet transformation, wavelet transformation is used when transformer bushing leakage current data is preprocessed, the number of decomposition layers is improved, the optimal number of wavelet decomposition layers is objectively selected by using the advantage of reinforcement learning autonomous decision, and the reliability of the transformer bushing leakage current data is improved. And multi-resolution frequency spectrum information of the signal is provided, noise in the original signal is suppressed, and leakage current data of the transformer bushing are efficiently processed.

The invention provides a distribution network type lightning arrester leakage current optimization measurement method. The method comprises the steps of signal acquisition, preliminary signal denoising and preprocessing, wavelet transform signal decomposition, high-frequency noise component elimination and processing, input convolutional neural network CNN descrambling, integrated learning model optimization, output of descrambled leakage current signals, performance evaluation and result feedback. Through a multi-level processing method combining wavelet transform and a convolutional neural network, high-frequency noise in a weak leakage current signal is effectively removed, effective characteristics of the signal are reserved in the denoising process, and compared with a traditional method depending on a single signal processing technology, signal descrambling can be more accurate and effective, and the signal descrambling efficiency is improved. According to the wavelet transform signal decomposition method, the signal can be decomposed into components with different frequencies, high-frequency noise components are effectively eliminated, low-frequency and intermediate-frequency effective signals are reserved, then the convolutional neural network further improves the definition and reliability of the signal through depth feature extraction, and accurate detection of the leakage current signal is ensured.

Provided are a charging system, an electrical isolation system, a control system, and a shockwave device. The charging system is provided with at least two electrical isolation circuits, thereby improving the frequency of sending charging control signals and further improving the frequency of charging a shockwave generation apparatus. The electrical isolation system can greatly improve the dielectric strength of the electrical isolation system, reduce a leakage current on the surface of a shockwave generator, and ensure the safety performance of the shockwave generator. The shockwave device can effectively monitor the discharge energy of a shockwave emitter, thereby improving treatment safety, controllability, and working efficiency.

The invention discloses a film capacitor enabling control method and system, a medium and a program product, and the method comprises the steps: determining current sampling data and voltage sampling data of a film capacitor in a first time period; calculating an equivalent impedance sequence within a first time length, and determining distribution characteristics of impedance components under different frequencies; dividing a plurality of frequency band intervals, and calculating an impedance change rate matrix in each frequency band interval; determining energy transmission efficiency, and determining a target frequency band interval; generating a compensation coefficient, and adjusting the amplitude and the frequency by using the compensation coefficient to obtain a target sine-wave voltage; performing energizing processing on the thin-film capacitor by adopting the target sine-wave voltage within the remaining time of the energizing duration, and calculating an instantaneous power factor in real time; and when the stability of the instantaneous power factor reaches a preset condition and the leakage current is reduced below a preset threshold value, generating an enabling completion signal. According to the invention, the adaptability between the energizing effect and the actual demand of the thin film capacitor is improved, and the energizing effect is further improved.

The invention provides a capacitive equipment resistive current taking-free PT signal measurement method suitable for a lightning arrester, and relates to the technical field of capacitive equipment resistive current measurement. The method comprises the following steps: deploying a non-contact electric field coupling sensing array; acquiring a multi-channel main induction signal and an equipment high-voltage side induction electric field signal; performing cascade filtering processing to obtain a filtering reference signal; dynamically correcting the phase deviation of the filtered reference signal to obtain a calibration reference signal; collecting a leakage current signal, and separating to obtain a resistive current component; and constructing a dielectric loss factor multivariable dynamic compensation model based on the deep belief network, embedding a capacitive equipment operation duration cumulative effect factor, and updating parameters in real time through an online learning algorithm to obtain a resistive current measurement result. High-precision measurement of resistive current is realized through an advanced technology, a model is established in combination with multiple environment parameters and equipment operation duration, adaptability is improved, and long-term accurate monitoring is guaranteed through online parameter updating.

The present invention belongs to the technical field of cable insulation degradation degree detection, and specifically provides a 10 kV cross-linked polyethylene cable degradation degree assessment method, terminal and storage medium based on a multi-dimensional degradation coefficient, including: performing partial discharge test, leakage current test and broadband dielectric spectrum test on a target 10 kV cross-linked polyethylene cable, collecting partial discharge data, leakage current data and dielectric loss real part and dielectric loss imaginary part data of the cable at multiple frequencies; calculating a multi-dimensional degradation coefficient τ based on the collected partial discharge data, leakage current data, dielectric loss real part and dielectric loss imaginary part data; evaluating the insulation degradation degree of the target cable based on the multi-dimensional degradation coefficient τ. The present invention can accurately calculate the multi-dimensional degradation coefficient of the cable through the collection and analysis of multi-dimensional data, thereby accurately reflecting the insulation degradation of the cable, and helping to timely discover potential faults of the cable.

The invention provides a preparation method of a planar gate accumulation layer channel field effect transistor embedded with a 3C / 4H-SiC heterogeneous junction. The preparation method comprises the following steps: growing an (n-) 4H-SiC drift region and an (n) 4H-SiC current expansion layer (CSL) on an (n +) 4H-SiC substrate by adopting a hot wall chemical vapor deposition (HWCVD) technology; forming a (p) 4H-SiC body region and an (n) 4H-SiC layer on the two sides of the CSL by using a mask, inductively coupled plasma (ICP) etching and ion implantation methods; growing a (p) 3C-SiC region on the upper part of the inner side of each (p) 4H-SiC body region by using a mask, ICP (Inductively Coupled Plasma) etching and HWCVD (High Weight Chemical Vapor Deposition); forming (n) 4H-SiC channels on the two sides of the middle part of the CSL by using a mask and HWCVD, and forming a (p) 3C / (n) 4H-SiC heterogeneous junction with a (p) 3C-SiC region at the bottom; respectively forming an (n +) 4H-SiC source region and a (p +) 4H-SiC source region on the outer side of each (n) 4H-SiC channel by utilizing ion implantation; forming an (n +) 3C-SiC region on the outer side of each (p +) 4H-SiC source region by adopting mask, ICP etching and HWCVD, and forming an (n +) 3C / (n) 4H-SiC heterogeneous junction with the (n) 4H-SiC layer below the (p +) 4H-SiC source region; performing high-temperature annealing to eliminate defects and activate impurities; forming an oxide layer and an (n +) poly-Si gate on the top; and respectively evaporating an alloy grid electrode, a source electrode and a drain electrode to prepare the planar gate accumulation layer channel field effect transistor embedded with the 3C / 4H-SiC heterogeneous junction. The leakage current of the transistor is small and is smaller than the on-resistance (Ron, sp), and the reverse recovery time is short.

The invention belongs to the technical field of direct current monitoring, and discloses a TMR-based open-close type direct current leakage current detection device, which comprises a magnetic core, one or more pairs of TMR sensors, a secondary side feedback coil and a main control circuit, and is characterized in that the magnetic core is provided with air gaps which are oppositely arranged; the TMR sensors are symmetrically arranged in the air gap; the secondary side feedback coil is wound on the surface of the magnetic core and forms closed-loop control with the main control circuit; the main control circuit comprises an acquisition feedback circuit, a secondary side detection circuit and a main control chip, the acquisition feedback circuit acquires signals of the TMR sensor under the control of the main control chip, generates feedback current and inputs the feedback current to the secondary side feedback coil, and the secondary side detection circuit is connected between the secondary side feedback coil and the main control chip. And the main control chip collects the secondary side voltage of the secondary side detection circuit and calculates to obtain the direct current leakage current. According to the invention, direct current leakage current detection with high sensitivity, low drift and strong anti-interference capability is realized under the open-close structure, and the requirements of a modern electric power system on continuity, safety and maintainability are met.

The invention relates to the technical field of on-line health monitoring of wide bandgap semiconductor power devices, and discloses an on-line gate leakage current monitoring method and system for a GaN power device, and the method comprises the steps: extracting an average gate driving current which is within a complete switching period, an average value of instantaneous currents flowing into or out of the gate of the GaN power device; and on the basis of the average gate driving current, gate leakage current is obtained, so that online gate leakage current monitoring of the GaN power device can be carried out. The system corresponds to the method. According to the invention, the core problem that the traditional voltage detection method is insufficient in resolution and cannot realize early warning is fundamentally solved; meanwhile, a source electrode series sampling and non-intrusive signal conditioning circuit is adopted, a switch and a voltage stabilizing circuit are prevented from being introduced into a grid electrode driving loop, and therefore interference on parasitic parameters of the grid electrode loop is eliminated, and feasibility and reliability of application in a high-frequency and high-sensitivity GaN power device are ensured.

A ground fault circuit interrupter (GFCI) device includes a ground fault detection module for detecting a ground fault in a neutral line of a plurality of current carrying lines and generating a ground fault signal in response thereto, including a neutral line detection coil having a magnetic core made of a silicon steel and through which the current carrying lines pass; a leakage current detection module for detecting the ground fault signal and detecting a leakage current signal on the current carrying lines, and generating a zero sequence current fault signal in response to either signal; and a drive module for receiving the zero sequence current fault signal and driving a switch module to disconnect the electrical connection of the current carrying lines in response thereto. The GFCI device can avoid false tripping when high frequency currents flow through the current carrying lines, improving user experience and enhancing safety.

The invention relates to a power transmission line fault risk grading evaluation method based on multistage early warning, and belongs to the field of power system safety. Comprising the following steps: acquiring an insulator surface pollutant data generation matrix; extracting spatial distribution characteristics of pollutants; leakage current waveforms under different humidity are calculated; extracting a leakage current harmonic component and pulse characteristics; dividing pollution flashover risk grades; matching the maintenance strategy and generating an equipment scheduling instruction; and performing fault risk grading evaluation to generate a report. According to the method, through multi-source data fusion and dynamic modeling, accurate evaluation and preventive maintenance of the pollution flashover risk of the insulator are realized, and the safety and reliability of a power system are improved.

A leakage current detection and interruption (LCDI) device includes a leakage current detection module, including a first and a second leakage current detection line and at least one resistive element and / or at least one semiconductor element, configured to detect a leakage current signal on the first or second current-carrying line and to generate a leakage fault signal in response to detecting the leakage current signal. The first and second leakage current detection lines are electrically insulated from each other, and respectively cover one of the first and second current-carrying lines. The at least one resistive element and / or semiconductor element is coupled in series between the first and second leakage current detection lines to form a current path for detecting an open circuit fault in the leakage current detection module. By detecting the fault in the first and second leakage current detection lines, the reliability of the LCDI device is improved.

Disclosed in the present invention is a ground fault device end-of-life self-test system. An induction coil and a neutral coil are used for sensing and acquiring a ground fault leakage current signal of a live wire or a neutral wire. A trip device is used for cutting off the power supply to a load in the event of a ground fault by driving a solenoid by means of a thyristor which is triggered by an IC1 to turn on. A manual test button is used for manually testing the function of a ground fault device. A rectifying circuit is used for rectifying an alternating current (AC) and outputting same to a direct current, and providing the direct current to IC1 and IC2 direct current power supplies. A ground fault detection circuit is used for completing ground fault detection, and controlling the drive to trigger the thyristor to turn on or off. A ground fault self-test control circuit is used for controlling the testing of a ground fault detection function without affecting normal ground fault detection and protection functions.

The invention discloses a method for accurately controlling a proton treatment process. The method comprises the following steps: selecting a feed-in voltage fluctuation amplitude greater than or equal to U0 as a later fault prediction standard; data acquisition of leakage current, cavity vacuum degree and feed-in voltage value is carried out, and a time sequence sample database is established; constructing and training a time sequence prediction model based on LSTM; collecting the leakage current and vacuum degree data of the electrostatic deflection plate at the current t-th time point in real time; using the data collected at the current t-th time point as the input of a prediction model, and predicting the fluctuation amplitude of the feed-in voltage at the (t + 1)-th time point through the prediction model; after it is predicted that a fault is about to occur, a PLC sends an instruction to control a central area vertical deflection plate to turn off a beam; after it is predicted that the fault is eliminated, a reset signal is sent; according to the method, through the combination of two predictions, the factor that the beam current intensity is unstable in the treatment process is eliminated, treatment is immediately recovered after the factor that the beam current intensity is unstable is eliminated, and the precise control of the proton treatment process is realized.

A leakage current detection and interruption device includes a switch module for controlling electrical connection of power supply lines between input and output ends; a leakage current detection module, including first and second leakage current detection lines respectively covering the first and second power supply lines, to detect leakage current thereon and to generate respective first and second leakage signals in response thereto; a signal processing module, coupled to the leakage current detection module to receive the first and / or second leakage signals and to generate a leakage fault signal in response thereto; and a trigger module, coupled to the switch module and the signal processing module, to receive the leakage fault signal and in response thereto, to drive the switch module to disconnect the electrical connection to the output end. The device can detect current leaks on the two power supply lines and is simple, low-cost and reliable.