8317 results about "Electric current" patented technology

The invention relates to a model predictive control charging optimization method based on a dynamic power state, which initiates a'dynamic power state collaborative optimization 'mechanism, takes a real-time power upper limit as an active optimization target instead of a fixed constraint condition, and breaks through the technical bottleneck of power limitation passive response in a traditional charging strategy. The method specifically comprises the following steps: constructing an electric-thermal-aging multi-physics field coupling model of the lithium ion battery, updating electric-thermal characteristic parameters in real time through an online parameter identification algorithm, and synchronously estimating a core temperature and an aging state in combination with a double-Kalman filtering state observer; innovatively establishing a four-dimensional objective function optimization model containing a dynamic power state, and performing multi-objective collaborative optimization on a power upper limit, a charging speed, a capacity fading rate and a current fluctuation rate; and designing a dynamic rolling optimization algorithm based on a model prediction control framework, and solving the optimal charging current meeting the dynamic power distribution requirement of the power grid in real time under the hard constraint of ensuring the maximum core temperature and terminal voltage.

The invention relates to an optically controllable switching device having a first and second line section, between which an optically controllable switch (T2) is inserted, and having a sensor element (SE). The optically controllable switch (T2) disconnects or connects depending on an optical switching signal (SB), whether the switch is "on" or "off". The sensor element (SE) comprises a carrier material (TM) with crystals comprising one or more paramagnetic centers (NV). When irradiated with pump radiation (LB), the sensor element (SE) emits fluorescent radiation (FL) which depends on the magnetic flux density B at the location of the sensor element (SE). A line current (I LTG) in the first line section of the line (LTG) generates a magnetic field with a flux density B which, with sufficient current strength, influences the fluorescent radiation (FL) from one or more paramagnetic centers (NV). The optically controllable switching device has first means (LWL1, PL1, LIV) for irradiating the one or more paramagnetic centers (NV) with pump radiation (LB) and second means (LWL2, F1, PD, LIV) for detecting and separating the fluorescent radiation (FL) and for detecting a measured value signal which depends on the intensity of the fluorescent radiation (FL) and / or on the phase shift of the modulation signal of the temporal profile of the intensity of the fluorescent radiation (FL). The optically controllable switching device has third means (LIV) for generating an optical switching signal (SB) and for controlling the state of the optically controllable switch (T2) using this optical switching signal (SB).The optical switching signal (SB) depends on the intensity of the fluorescence radiation (FL) and / or on the phase shift of the modulation signal of the temporal course of the intensity of the fluorescence radiation (FL).

The invention relates to a multi-sensor fault feature fusion diagnosis method for electrical equipment, which comprises the following steps: synchronously acquiring operation data of the electrical equipment through a vibration sensor, a temperature sensor, a current sensor and an ultrasonic sensor, dynamically adjusting the sampling frequency according to the physical characteristics of each sensor, and the sampling rate of the temperature signal is not lower than 1Hz. Through a multi-source sensor data synchronous acquisition and time sequence alignment technology and a signal alignment method combining a dynamic time warping (DTW) algorithm and Hilbert-Huang transformation, the problem of time asynchronization of heterogeneous sensor data such as vibration and temperature is solved, so that the time alignment precision of multi-source data is improved, the feature extraction accuracy is improved, and the accuracy of feature extraction is improved. Through hierarchical feature extraction and graph convolutional network fusion, a feature incidence matrix based on mutual information is constructed, deep correlation between vibration signal TKEO features and cross-modal features such as current harmonics is mined by using GCN, the feature dimension is reduced, and the fault feature separability index is improved.

The invention relates to the technical field of MOS semiconductors, and discloses a silicon carbide thick-bottom oxide layer groove MOS structure and a preparation method thereof, the silicon carbide thick-bottom oxide layer groove MOS structure comprises a plurality of parallel MOS cells, and each MOS cell comprises a drain electrode, a semiconductor epitaxial layer, a source electrode and a grid electrode; the semiconductor epitaxial layer comprises an N substrate layer, an N drift layer, a P + layer, an N well layer and a P well layer, and a lightly doped N layer is arranged in the middle of the N drift layer of each MOS cell; the lightly doped N layer is arranged in the middle of the N drift layer, the arc-shaped contour design with the inclined top is introduced to the two sides, the injection area is accurately controlled through the photoetching technology, the phenomenon that the edge electric field concentration of the N drift layer is effectively dispersed is effectively dispersed, in this way, electric field distribution is more uniform, breakdown voltage is improved, and local electric field concentration is reduced; moreover, the contact between the laterally symmetrical P-layer and the N substrate layer enhances the charge balance capability, and reduces the leakage current.

The invention discloses a beam current testing device for accelerator beam current debugging, which comprises an integrated short-distance testing device without a focusing or deflecting magnet, and is characterized in that the testing device comprises a vacuum chamber, and at least two beam current position detectors are integrated on the vacuum chamber along the beam current ejection direction of an accelerator; the two beam position detectors connected with the vacuum chamber are symmetrically arranged on the two sides of the vacuum chamber, and the center distance is adjustable; the vacuum pipeline where the beam position detector is located is coaxially provided with a flow intensity measuring device and a beam garbage target, and the flow intensity measuring device is provided with an insulation sealing structure for preventing generation of mirror current; and a vacuumizing device is also integrated on the vacuum chamber. The testing device is not provided with any magnet, does not focus or deflect the beam current, is simple in structure, achieves the measurement of the beam current intensity, beam current energy and beam spot size through the simplest structure, is small in installation space, meets the requirements of ACCT current intensity measurement for isolating mirror current, and can be flexibly installed according to the needs.

The invention discloses a building intelligent electrical fire monitoring method and system, and relates to the field of fire monitoring, and the method comprises the steps: obtaining distribution box parameters of different floors in a target monitoring area in a preset time period, and the distribution box parameters comprise a leakage current value and a temperature value; performing multi-scale decomposition on the parameters of the distribution box to obtain a plurality of intrinsic mode functions and residual trends; performing feature extraction on each intrinsic mode function and the residual trend to obtain an electrical fire feature vector; constructing a fire risk assessment model according to the electrical fire feature vector; and predicting a fire risk level according to the fire risk assessment model. Aiming at neglecting a nonlinear relation between leakage current and temperature of a distribution box in the prior art, the building electrical fire monitoring precision is improved based on multivariable time-delay analysis, ensemble empirical mode decomposition and the like.

The invention discloses a two-dimensional magnetic material device and a preparation method and a regulation and control method thereof, and the regulation and control method comprises the steps: enabling ionic liquid to cover the surface of a two-dimensional magnetic material, enabling the ionic liquid to be in contact with a grid electrode, a source electrode, a drain electrode and the two-dimensional magnetic material, and continuously applying current from the grid electrode to the source electrode and to the drain electrode, and the regulation and control of the two-dimensional magnetic material device are completed. According to the two-dimensional magnetic material device and the preparation method and the regulation and control method thereof provided by the invention, the ionic liquid containing the cationic molecular chains with different lengths is selected to perform intercalation on the two-dimensional magnetic material device, so that regulation and control on the two-dimensional magnetic material device are realized, and the regulation and control flexibility of the two-dimensional magnetic material is greatly improved; and the coercive field, the magnetic anisotropy energy and the carrier concentration of the two-dimensional magnetic material can be changed.

The invention relates to the technical field of intelligent fire fighting, in particular to a building electrical fire identification method and system based on multi-source information fusion, and the method comprises the steps: firstly collecting the multi-source monitoring data of an electrical system in real time, then carrying out the preprocessing of the multi-source data, including noise filtering, time alignment and feature extraction, and constructing a dynamic weight fusion model; the weight of each data source is adaptively allocated based on the feature entropy, then fusion features are input to the fire risk grading model, a fire probability index and an early warning level are output, and when the early warning level exceeds a threshold value, a linkage control instruction is triggered and an alarm is given; according to the method, through dynamic fusion of multi-source information, the electrical fire identification precision is remarkably improved, multi-dimensional parameters such as current, temperature, smoke and arc are adaptively integrated by adopting an entropy weight assignment mechanism, the problems of false alarm and missing alarm of traditional single-threshold detection are solved, the missing alarm rate and the false alarm rate are remarkably reduced, and the reliability of fire early warning is ensured.

The invention relates to the field of magnetic field generation, and discloses a multi-mode array magnetic field generation system and method. The single excitation source matrix excitation comprises an FPGA main control chip and a DDS signal generation module, a DDS chip reads a signal waveform stored in an ROM, a keying module is combined with a PLL clock signal module and an amplification circuit, signals with adjustable amplitude, frequency, phase and duty ratio are achieved, excitation is applied to an array coil through bipolar D / A conversion to generate magnetic fields of different modes, and the magnetic fields of different modes are generated. The Hall magneto-dependent sensor is combined to adjust the angle and direction of the generated magnetic field in real time, and the focusing angle of the magnetic field is dynamically changed. The array coil is excited by generating a plurality of current signals with different amplitudes, frequencies, phases, duty ratios and directions, and the Hall magneto-dependent sensor above the coil is combined, so that the energy and direction of an array magnetic field are controllable, the magnetic field generation efficiency is improved, and the detection target is enhanced.

The invention provides a single molecule detection device and method based on an electrochemical gating technology in a quantum tunneling region, and relates to a detection technology for regulating molecular energy level alignment and regulating molecular conductance through gate voltage, a functionalized tunneling electrode is prepared at the tip of a nano pipettor and is placed in a solution containing single molecules, and the electrochemical gating technology in the quantum tunneling region is used for detecting the single molecules in the nano pipettor. The gate potential and the bias voltage are dynamically adjusted, tunneling current signals flowing through the single molecule are recorded and analyzed in real time, the structure, the charge state and the energy state of the single molecule can be actively regulated and controlled, and dynamic detection of the single molecule is achieved according to the conductivity change spectrum of the single molecule under different potential conditions. And the single molecule detection precision based on the tunneling electrode is obviously improved.

The invention discloses an aluminum electrolytic capacitor state evaluation method and device, and the method comprises the steps: carrying out the frequency scanning measurement of an electrolyte and oxidation film interface, and obtaining the change data of an interface polarization current phase angle along with the frequency; measuring fluid dynamic characteristics of the electrolyte according to the polarization characteristic parameters, and detecting micro-flow response characteristics; according to the flow distribution data and the evolution data, applying a voltage sequence to carry out ion migration kinetic analysis; carrying out microstructure analysis in a preset temperature change process according to the ion distribution characteristics; and according to the structure change data and the dielectric response data, analyzing the change characteristics of the molecular level, the bubble distribution and the overall performance to obtain a stability evaluation result. According to the technical scheme, through multi-dimensional analysis of the interface polarization characteristic, the fluid dynamic characteristic, the ion migration dynamics and the microstructure change of the electrolyte, effective detection of bubbles and layering phenomena in the electrolyte is realized, and accurate evaluation of the performance state of the capacitor is facilitated.

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

The present application provides a negative electrode sheet for a lithium metal battery, an electrode assembly, a lithium metal battery, and an electronic device. The negative electrode sheet comprises a carbon-based current collector, and a first metal lithium-replenishing layer and a second metal lithium-replenishing layer which are respectively provided on two sides of the carbon-based current collector. Compared with a conventional metal negative electrode sheet, the carbon-based current collector comprised in the negative electrode sheet can significantly reduce the weight of the negative electrode sheet, thereby significantly improving the gravimetric energy density of the lithium metal battery. The first metal lithium-replenishing layer and the second metal lithium-replenishing layer are respectively provided on the two sides of the carbon-based current collector; when tabs are welded to the negative electrode sheet, due to the existence of the carbon-based current collector, the negative electrode sheet will not be burned through, avoiding non-uniform current distribution between the negative electrode sheet and other parts of the battery, avoiding slowing down the electrochemical reaction rate in certain areas, avoiding reduction of the capacity of the lithium metal battery.

The invention discloses a method, system and device for monitoring the quality of an operating lightning arrester, and the method comprises the steps: collecting a lightning current, a leakage current, the temperature of the lightning arrester and the environment temperature during lightning stroke, evaluating the residual life of the lightning arrester through the lightning current, and achieving the quality monitoring of the operating lightning arrester based on the residual life, the leakage current, the temperature of the lightning arrester and the environment temperature. Healthy operation of the lightning arrester can be ensured, safe and reliable operation of a distribution line can be ensured, and great economic value and social benefit are achieved.

A photo-detecting apparatus is provided. The photo-detecting apparatus includes a carrier conducting layer having a first surface; an absorption region is doped with a first dopant having a first conductivity type and a first peak doping concentration, wherein the carrier conducting layer is doped with a second dopant having a second conductivity type and a second peak doping concentration, wherein the carrier conducting layer comprises a material different from a material of the absorption region, wherein the carrier conducting layer is in contact with the absorption region to form at least one heterointerface, wherein a ratio between the first peak doping concentration of the absorption region and the second peak doping concentration of the carrier conducting layer is equal to or greater than 10; and a first electrode and a second electrode both formed over the first surface of the carrier conducting layer.

The embodiment of the invention provides an inverter, a motor controller and a vehicle, and the inverter comprises an integrated drive control board which comprises a drive part and a control part which are disposed on the same circuit board; the onboard current sensor is used for detecting direct current and converting the direct current into three-phase alternating current; the integrated liquid cooling heat dissipation capacitor comprises a high-voltage film capacitor and a liquid cooling heat dissipation device, and at least part of the high-voltage film capacitor is in contact with the liquid cooling heat dissipation device. At least part of the power semiconductor device is in contact with the liquid cooling radiator, the high-voltage film capacitor is connected with a positive electrode and a negative electrode of an upper bridge of the power semiconductor device through a positive electrode switching copper bar and a negative electrode switching copper bar respectively, and a lower bridge of the power semiconductor device is connected with the three-phase copper bar. The integrated liquid cooling heat dissipation capacitor and the liquid cooling heat dissipation device are arranged to dissipate heat of the power semiconductor device and the high-voltage thin film capacitor, and the high-voltage thin film capacitor and the power semiconductor device can be dissipated at the same time through one liquid cooling heat dissipation device.

The present disclosure provides an orbitronic device having orbital Hall effect or inverse orbital Hall effect, and method for enhancing the efficiency thereof. The orbital torque device comprises: a ferromagnetic / non-magnetic heterojunction formed by compounding a ferromagnetic layer and a non-magnetic layer as an orbital current source, wherein the ferromagnetic layer contains a ferromagnetic material, the non-magnetic layer contains a non-magnetic material with weak spin-orbit coupling, the non-magnetic layer is used as an orbital Hall channel to generate orbital current, and the orbital current enters the ferromagnetic layer, so that an orbital torque is generated through an orbital-spin conversion effect of the ferromagnetic layer to realize switching of a magnetic moment. The present disclosure can provide orbitronic device with low cost and good performance.

The invention relates to the technical field of battery health state management, and discloses a lithium battery internal state estimation method based on a physical information neural network, and the method comprises the steps: obtaining a loss function for carrying out the optimization training of the internal parameters of a neural network model through an e-SPM model, enabling the internal parameters of the neural network model to be subjected to the optimization training through the loss function, and achieving the estimation of the internal state of a lithium battery. And internal state estimation of the lithium battery is realized. According to the invention, the current, voltage and temperature of the lithium battery are directly mapped to the internal electrochemical state of the lithium battery, so that the output result of the physical neural network is more explanatory and is easy to understand and analyze, and the output state quantity is substituted into the simplified physical model of the voltage by adopting an unsupervised learning mode. In the training process, a large amount of labeled data is not needed, and the experimental data acquisition difficulty is reduced.

The invention discloses a lithium ion battery modified graphite negative electrode material and a preparation method and application thereof, and belongs to the technical field of batteries, the negative electrode material is of a core-shell structure, an internal core is graphite particles, an external shell is a high electronegativity nonmetal / metal heteroatom co-doped carbon material of N, O, F and the like, the weight ratio of carbon doped in the shell part to graphite is X, and 2% < = X < = 20%. Compared with the prior art, the negative electrode material can form an SEI film which is more stable, compact and continuous and is rich in fluoride with high ionic conductivity, so that the SEI film can be effectively prevented from being broken and lost in the later charging and discharging process, and the service life of the negative electrode material is prolonged while the first-round coulombic efficiency of the negative electrode material is remarkably improved. And the cycle life and the high-current charge-discharge performance of the negative electrode material can be remarkably improved.

The invention discloses an arc risk situation awareness prediction method and system based on multi-characteristic dynamic mapping, and belongs to the technical field of electrical fault detection.The method comprises the steps that arc characteristics are extracted according to a current waveform of an electric power system, and the arc generation position is determined by combining the propagation rule of the arc characteristics; predicting the development trend of the arc form image and the energy signal according to the arc form image and the energy signal of the current waveform; according to the development trend of the arc characteristics, taking the arc as a heat source, reflecting the contact area of the arc and air by the arc form image, and combining with the heat transfer rule of the arc to obtain the temperature field distribution of the arc; and according to the arc generation position and the temperature field distribution, in combination with the distance perception between the ignition point of the evaluation object and the arc boundary, predicting the arc risk on the installation line of the evaluation object, and making corresponding emergency prevention measures according to the risk evaluation result. And accurate prediction, reliable identification and rapid cutting-off of the fault arc are realized.

The invention relates to the technical field of high-energy particle diagnosis, and discloses an ion probe and diagnosis device.According to the scheme, an insulating plate is arranged in a probe, the insulating plate is plated with a plurality of aluminum films (forming conductive parts) arranged at intervals, when high-energy ions bombard the aluminum films at different positions, current signals can be generated in the corresponding conductive parts, and the high-energy ions can be detected through the current signals; the current amplifier amplifies a generated current signal, transmits the current signal to the signal processing system through the isolation amplifier, collects and analyzes the current signal by the signal processing system, and judges whether the conductive part is bombarded by high-energy ions by detecting the current signals formed in different conductive parts; the angle range of the high-energy ions relative to magnetic lines and the energy distribution range of the high-energy ions are obtained; according to the scheme, the aluminum film is bombarded based on the high-energy ions, the current signal is generated, the experiment cost can be effectively reduced, collection is greatly facilitated, interference of other signals is avoided, and the accuracy of high-energy ion diagnosis is improved to a certain extent.

The invention relates to the technical field of power system monitoring and fault diagnosis, and particularly discloses a fault diagnosis system of an electrical variable measurement insulator detection device. The system comprises a synchronous acquisition module, a multi-physical field feature extraction module, a self-adaptive fault diagnosis engine and a feedback module. By synchronously acquiring voltage harmonic waves, leakage current and temperature data, extracting feature vectors of coupling electric-thermal influence and performing two-stage collaborative diagnosis by using a dynamic threshold value and a mahalanobis distance, high-sensitivity and self-adaptive accurate identification and early warning of an early latent fault of the insulator are realized. According to the system, by constructing a synchronous data acquisition module and a multi-physical field feature extraction module, two key influence factors, namely an operation voltage harmonic component and an environment temperature, are brought into a diagnosis system in a quantifiable feature form for the first time.

Provided are a transistor with favorable electrical characteristics, a transistor with a high on-state current, a transistor with low parasitic capacitance, or a transistor, a semiconductor device, or a memory device which can be miniaturized or highly integrated. An oxide semiconductor layer included in the transistor, the semiconductor device, or the memory device includes a first region, a second region over the first region, and a third region over the second region. The first region is located in a range from a surface on which the oxide semiconductor layer is to be formed to greater than or equal to 0 nm to less than or equal to 3 nm in a direction substantially perpendicular to the surface. In cross-sectional observation of the oxide semiconductor layer using a transmission electron 10 microscope, bright spots arranged in a layered manner in a direction parallel to the surface are observed in each of the first region, the second region, and the third region.

An arc path-forming part and a DC relay comprising same are disclosed. The arc path-forming part according to various embodiments of the present disclosure comprises a Halbach array and a magnet part that form a magnetic field in a space formed therein. The magnetic field formed by the Halbach array is stronger in the direction toward the space. The magnetic field formed by the Halbach array and the magnet part forms an electromagnetic force together with the current applied to each fixed contactor. Here, the electromagnetic force formed in the vicinity of each fixed contactor is formed in a direction away from the center of the space or in a direction away from each fixed contactor. Accordingly, a generated arc can be quickly extinguished and discharged by being induced by the electromagnetic force.

The invention discloses a non-uniform and conformal grid-oriented electromagnetic particle adaptive simulation method and system, and relates to the technical field of electromagnetic particle simulation. The method comprises the following steps: performing non-uniform right-angle mesh generation based on a charged particle average free path, and identifying conformal mesh units; carrying out initialization by adopting macro particles; executing electromagnetic field propulsion, field interpolation, particle propulsion, charge current backfilling and collision simulation in each time step; and accelerated calculation is realized through a CPU and GPU hybrid parallel architecture. Through the method, the numerical simulation precision can be improved, the adaptability of complex geometry is enhanced, the coupling stability of the electromagnetic field and the particles is ensured, the information interaction between the field and the particles is improved, and the large-scale calculation efficiency is improved.

The invention discloses a fusion device high-temperature superconducting magnet quenching detection method based on deep learning, and the method comprises the steps: obtaining a magnet quenching voltage noise signal, a magnet current signal, a plasma current signal and an eddy current signal from the historical operation data of a fusion device, and taking the signals as a data set to train a deep learning model; a magnet current signal, a plasma current signal and an eddy current signal during operation of the device are continuously collected in real time, and a magnet quenching voltage noise signal is calculated in real time by using an offline trained deep learning model; and deducting the magnet quench voltage noise signal calculated in real time from the magnet quench voltage detection signal acquired in real time to obtain a real magnet quench voltage signal, thereby realizing accurate detection of the high-temperature superconducting magnet quench of the fusion device. According to the method, quench of the high-temperature superconducting magnet is detected timely and accurately by means of the strong learning ability of deep learning, and safe and stable operation of the high-temperature superconducting magnet in a fusion device is guaranteed.

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

The invention provides an ion energy distribution testing device for immersed plasma injection equipment. The ion energy distribution testing device comprises a Faraday cup, a biasing circuit, a data acquisition unit and an upper computer, the Faraday cup is arranged around the wafer and configured to collect plasma energy around the wafer, and the plasma energy is converted into a current signal at a collector of the Faraday cup; the bias circuit is configured to apply bias voltage to the grid mesh of the Faraday cup under the enabling of the data acquisition unit; and the data acquisition unit is configured to drive the biasing circuit, acquire a current signal of the collector of the Faraday cup and a voltage signal of the grid, and upload the current signal and the voltage signal to an upper computer. According to the invention, through the design of the Faraday cups and the bias circuit, the whole measuring device can realize ion energy distribution measurement under high voltage, and the distribution condition and uniformity of ion energy around the wafer can be tested in cooperation with the arrangement of the plurality of Faraday cups.

The invention relates to the technical field of data processing, in particular to an induction cooker data acquisition and processing system which comprises a power jump identification module, a response section correction module, a trend sampling analysis module, a temperature control abnormity judgment module and a working condition balance data calibration module. According to the method, the rate change value between the power sampling points in the operation period is calculated, the sections with obvious abrupt change characteristics are screened, and the power lag response is corrected in combination with the voltage change slope, so that the time offset between the control response and the electric signal change is effectively corrected; the temperature fluctuation trend and the temperature control deviation direction are analyzed on the basis of the correction sequence, a temperature control abnormal state label set is formed by matching current waveform symmetry characteristics, a basis is provided for output power adjustment according to the temperature rise rate, the adaptation capacity of data analysis to actual working conditions and the execution precision of a control strategy are improved, and the accuracy of data analysis is improved. And the stable operation capability of the electromagnetic heating equipment under the complex thermal load change is enhanced.

Lateral III-N devices such as AlGaN / GaN HEMTs can have structures which serve to improve performance and reduce current degradation. The III-N device can include a conductive substrate and a III-N material structure that includes a III-N buffer layer, a III-N channel layer and a III-N barrier layer where a compositional difference induces a 2DEG channel therein. The first portion is in ohmic contact with the 2DEG channel and the second portion extends over a top surface of the III-N barrier layer and is in direct contact with the top surface of the III-N barrier layer. The device further includes a drain-to-substrate pinch-off voltage and a maximum rated drain-to-source operating voltage which is greater than the drain-to-substrate pinch-off voltage, and the 2DEG channel is fully depleted of charge below the second portion of the drain electrode when the III-N device is biased at or above the maximum rated drain-to-source operating voltage.