6354 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 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 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 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 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 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.

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 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 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.

The invention discloses an elevator steel wire rope detection device and method, and the device comprises the following steps: firstly, carrying out the pre-scanning of an initial magnetic field, then carrying out the magnetization of a steel wire rope through a multi-stage adjustable electromagnet, and controlling the magnetization intensity through a current; the method comprises the following steps: firstly, pre-scanning a magnetic field, then, carrying out real-time monitoring and feedback control on the magnetized magnetic field, carrying out synchronous acquisition through a multi-modal sensor, then, extracting multi-domain features, receiving a feature vector set by a model, carrying out dynamic weighting operation on the feature vector set, and finally, outputting a task. The problem that initial magnetic fields of the steel wire ropes are inconsistent can be effectively solved, data are synchronously collected through the multi-mode sensor, effective distinguishing and quantitative evaluation of different types of defects such as wire breakage, abrasion, corrosion and fatigue damage are achieved, and the defects of an existing detection mode in defect subdivision and quantification are overcome.

The invention relates to the technical field of fire control, in particular to an electrical fire control method and system based on multiple sensors, and the method comprises the steps: obtaining related data of electrical fire influence factors, and carrying out the preprocessing; extracting a current peak value by using an AMPD peak value detection algorithm according to the preprocessed current data, and constructing an arc fault strength index; combining the arc fault strength index and temperature data, analyzing the relationship between arc fault abnormal heat release and temperature change, constructing an electrical heat dissipation goodness, integrating the electrical heat dissipation goodness and the change rule of carbon monoxide and carbon dioxide concentration, constructing a fire risk index, and quantifying the risk degree of electrical fire occurrence; and correcting the SOS anomaly detection algorithm based on the fire risk index to obtain a corrected significant anomaly score, and preventing and controlling the electrical fire according to the significant anomaly score. According to the invention, the fire risk index is constructed in combination with various sensor data, and the electrical fire early warning accuracy and prevention and control efficiency are improved.

The invention discloses an exciting current adjusting method for four-pole / eight-pole composite iron. The exciting current adjusting method comprises the following steps: establishing a two-dimensional data comparison table of coil currents of four-pole iron and eight-pole iron; performing experimental measurement to obtain a quadrupole field magnetic field gradient three-dimensional curved surface sample database and an octupole field magnetic field gradient three-dimensional curved surface sample database; performing two-dimensional interpolation on the magnetic field gradient three-dimensional curved surface sample database by using a cubic spline function; a quadrupole field magnetic field gradient plane and an octupole field magnetic field gradient plane are selected and intersect with the quadrupole field magnetic field gradient three-dimensional curved surface sample database curved surface and the octupole field magnetic field gradient three-dimensional curved surface sample database curved surface respectively, and current curves meeting the quadrupole field gradient and the octupole field gradient are obtained; and obtaining an intersection point of the two curves, and using the intersection point as a solution of the compound iron exciting current. According to the invention, based on magnetic field measurement data under a few groups of excitation currents, a large amount of excitation current debugging time is saved, and accurate adjustment of the magnetic field gradient of the composite multi-pole magnet can be realized.

The invention discloses a lightning protection system for an environment monitoring station and a use method of the lightning protection system, and relates to the technical field of lightning protection, and the system comprises a multi-stage composite grounding module, an intelligent energy distribution module, a lightning current monitoring module, a surge protection module and a grounding impedance optimization module. Comprising a main grounding body, an auxiliary grounding body and a deeply-buried grounding electrode, the grounding resistance can be remarkably reduced, the lightning current leading-in efficiency can be improved, when lightning current passes through, the multi-stage grounding structure can effectively disperse the current, overload of a single grounding body is avoided, and meanwhile the grounding resistance of the grounding body is improved. The intelligent energy distribution module can dynamically adjust a current distribution strategy between different grounding bodies according to the magnitude of lightning current, ensures that the deeply-buried grounding electrode is preferentially conducted under the condition of strong lightning stroke, starts a parallel discharge mode of the main grounding body and the auxiliary grounding body under the condition of weak lightning stroke, and guarantees the safe operation of the environment monitoring station.

A charging bench includes three coils that partially overlap, in superposed planes. An electrical feed makes it possible to supply the coils with an AC current from the mains. A portable device to be charged is placed on the upper side of this charging bench. This device includes a winding intended to receive the electrical charging, and a ferrite protective screen. One of the coils (Bb) is selected to emit the magnetic charging flux toward the mobile phone. The selection is carried out via the emission of a series of pulses by at least one of the coils and comparison of return signals with a reference threshold. This comparison also enables one of the other coils (Ba, Bc) to be selected or both of these other two coils (Ba, Bc) to be used to receive a flux for communicating information originating from the portable device to be charged.

The invention relates to the technical field of MOS (metal oxide semiconductor), and discloses a low-on-resistance SiC MOSFET (metal oxide semiconductor field effect transistor) terminal structure, which consists of a plurality of parallel MOS cells, and is characterized in that each MOS cell comprises a drain electrode, a semiconductor epitaxial layer, a source electrode, a grid electrode and a grid oxide layer, the semiconductor epitaxial layer sequentially comprises an N substrate layer, an N drift layer, a P well layer and an N well layer from bottom to top, P + layers are arranged on the two sides of the P well layer and the N well layer in a single MOS cell, a heavily doped N-layer is formed in the semiconductor epitaxial layer of the single MOS cell through ion implantation, and the heavily doped N-layer is located below the P well layer and is in contact with the P well layer. The heavily doped N-layer is additionally arranged below the P well layer to form a vertical low-resistance path, the uniformity of a grid electric field is destroyed in combination with the conduction P region, suppression of the grid on charge diffusion of a drain is weakened, the conduction resistance is greatly reduced compared with a traditional structure, and then the conduction current is greatly improved.

The invention discloses a numerical control machine tool vibration suppression self-adaptive control system and method, and relates to the technical field of intelligent vibration control, and the method comprises the steps: building a current-modal dynamic mapping relation between an electrical drive characteristic and a mechanical structure modal response based on a vibration state feature vector; real-time machine tool modal state vectors are obtained through online recursive estimation; the machine tool modal state vector is used as a boundary condition to be injected into the virtual prediction model; solving to obtain an optimal control parameter sequence and a corresponding vibration prediction result in a future time domain by taking multi-performance index collaborative optimization as a target through a rolling optimization control strategy; translating the control parameter sequence into a specific execution instruction and issuing the specific execution instruction; monitoring an execution process in real time and recording actual response data; according to the method, the accuracy of vibration prediction and the real-time performance of control response are improved by establishing the dynamic mapping relation from the electromagnetic driving characteristics of the servo main shaft and the feed motor to the dynamic response of the machine tool structure.

The invention relates to the technical field of fire early warning, and particularly discloses a fire-fighting electrical fire early warning method and system based on the Internet of Things, and the method comprises the steps: configuring an edge computing gateway, and collecting a current waveform signal and a high-frequency electromagnetic radiation signal of an electrical loop based on the edge computing gateway; extracting harmonic characteristics and electromagnetic radiation characteristics; constructing a risk value prediction and propagation model based on the graph neural network model according to the power grid topological structure, generating a data packet when the coupling relationship between the harmonic characteristics and the electromagnetic radiation characteristics meets a joint triggering condition, inputting the data packet into the risk value prediction and propagation model, and transmitting the data packet to the power grid. A dynamic risk value and a fault source position are output based on a risk value prediction and propagation model, through bimodal acquisition, electrical fire hazards can be found in an early stage, real-time feature extraction is performed by using an edge computing gateway, the data transmission amount is reduced, modeling is performed on power grid topology through a graph neural network model, a fault propagation path can be accurately predicted, and the fault propagation efficiency is improved. And the early warning precision is improved.

The invention relates to an active source magnetization-time domain electromagnetic induction polarization multi-parameter extraction method, and provides an active source magnetization-time domain electromagnetic induction polarization multi-parameter extraction method aiming at induction response caused by conductivity, polarization response caused by chargeable property and magnetization response caused by magnetic complex physical property in polymetallic ore detection. When the emission current is in a flat-topped stage, based on an active magnetic method, magnetic susceptibility extraction is carried out by using an Oxim method; when the emission current is in a turn-off stage, resistivity and polarization extraction is carried out by using a depth Q network method based on a time domain electromagnetic method by taking the extracted magnetic susceptibility as a constraint condition; and finally, multi-parameter extraction of resistivity, polarizability and magnetic susceptibility of the active source magnetization-time domain electromagnetic induction polarization method is realized.

The invention discloses a pulse electroplating detection method, a pulse electroplating device and equipment, and the method comprises the steps: synchronously collecting transient current density data of a three-pole assembly in a pulse switching time window, and calculating a time derivative of a current density ratio to obtain electrochemical stress gradient data; performing space-time correlation analysis on the stress gradient data of the continuous pulse period, and tracking a spatial propagation trajectory of stress anomaly; a key monitoring area is determined according to the propagation trajectory, and ion migration impedance sensitivity distribution is detected through micro-amplitude current modulation; performing multi-dimensional coupling analysis on the stress gradient, the propagation trajectory and the impedance sensitivity data, and identifying time sequence correlation characteristics of stress evolution and ion anomaly; and performing quantitative evaluation and grade division on the electrochemical state of the avoidance area based on the coupling correlation characteristics. According to the scheme, early recognition and predictive evaluation of the ion migration abnormity of the boundary layer of the avoidance area can be realized in the pulse electroplating process, and the electroplating quality control precision and the process stability are remarkably improved.

The invention relates to the technical field of fault detection, in particular to an electrical fault detection control system which comprises a phase monitoring module, an abnormity positioning module, a current control module and a result verification module. According to the method, the phase difference is calculated by combining collection and dynamic time warping, an abnormal mark is generated by comparing a phase tolerance threshold value, the phase delay detection precision is improved, based on an adjacent node phase difference value sequence, the slope kick is analyzed through linear regression, the candidate section judgment accuracy is enhanced, and a constant current source collects a multi-node voltage difference value; the Kalman filtering smoothes the voltage drop difference and compares the threshold value, improves the anti-interference capability of the complex working condition, compares the overlapping degree of the path coordinates and forms a closed loop verification mechanism with a re-check instruction, guarantees the reliability of the positioning result, shortens the fault response time through the multi-stage collaborative optimization, reduces the misoperation, and improves the discrimination robustness through the dynamic modeling and multi-source signal fusion. The dependence on experience or threshold is reduced; and the self-adaptive capability is enhanced.

The invention relates to the technical field of material detection, in particular to a silver coating adhesive force detection method based on multi-frequency impedance imaging, which comprises the following steps: applying a dual-mode multi-frequency excitation signal to the surface of a silver coating through an attached microelectrode array, synchronously acquiring voltage-current response data, and generating a dual-mode multi-frequency impedance original data set; performing time-varying impedance phase-locked separation on the dual-mode multi-frequency impedance original data set, extracting a dynamic impedance component of a coating-matrix interface region, and reconstructing a three-dimensional sub-interface impedance distribution diagram; and outputting an adhesive force quantized value through an oscillation frequency-adhesive force conversion model according to the spatial oscillation frequency characteristics of the impedance phase in the three-dimensional sub-interface impedance distribution diagram. According to the invention, a double-phase-locked loop system is adopted to realize the time-varying component demodulation of the impedance response of the silver coating-matrix interface, the low-frequency dynamic impedance signal modulated by silver ion migration is effectively extracted, and the weak change of the interface bonding state is sensitively reflected.

The invention belongs to the technical field of batteries, and particularly relates to a waste oil mediated preparation method of a whole-domain low-defect pseudographite domain-rich hard carbon material and a method and high-rate sodium ion energy storage. The preparation method comprises the following steps: uniformly mixing and stirring dried biomass and waste grease, putting the mixture into a tubular furnace, heating under protective gas, carrying out high-temperature carbonization, washing with a diluted hydrochloric acid solution and deionized water in sequence, and drying to obtain the waste oil mediated whole-domain low-defect pseudo-graphite domain high-rate hard carbon negative electrode material. According to the waste oil mediated global low-defect and pseudo-graphite domain-enriched high-rate hard carbon negative electrode material obtained by the invention, the structural stability of the material in an ion intercalation / deintercalation process is enhanced, the cycle life of an electrode is effectively prolonged, the high-rate performance of the material can be considered while the platform capacity is ensured, and the service life of the material is prolonged. And it is ensured that the electrode can still maintain high capacity output and good cycling stability under the large-current charging and discharging condition.

The invention belongs to the field of data control optimization, and provides a sediment thickness real-time calculation method, system and equipment based on dynamic electric dip angle feedback, which can collect the current value fed back by a sediment thickness probe by setting a plurality of continuous and equal time sampling windows, collect the current value set in each time sampling window, and calculate the sediment thickness according to the current value set. Respectively calculating a current signal inclination angle according to the current value set in each time sampling window; a dynamic time window is used to filter the current signal dip angle of each time sampling window to control the real-time calculation of the sediment thickness. The sediment thickness can be reliably and continuously obtained in real time and probe deflection and environment drifting can be automatically counteracted under the environments of mud, high pressure, deep holes and the like. The device and the method have remarkable progress in the aspects of drifting resistance, noise resistance, continuous measurement and equipment reliability, and can be widely applied to sediment thickness detection of deep piles, large-diameter cast-in-place piles and coastal high-salt projects.

The invention relates to a high-adaptability fused salt heat storage system in-situ monitoring method, which is characterized in that current and potential signals correspond to the concentration of impurity ions in fused salt through an electrochemical analysis method, and the current value of a characteristic peak corresponds to the concentration of impurities in the fused salt, so that sampling and chemical analysis are not needed; according to the method, the real-time concentration of the impurities can be obtained only by acquiring the characteristic peak current value through electrochemical scanning, the fused salt component analysis process is greatly simplified, the real-time monitoring of the ion concentration through the square wave voltammetry is an automatic and continuous process, and compared with a traditional analysis method, the method has the advantages of being high in sensitivity and analysis speed and suitable for popularization and application. And analyzable response can be generated to tiny concentration change. According to the invention, in-situ and continuous measurement of the concentration of the marker impurities in the molten salt can be realized, and timely and accurate feedback can be provided for changes of components and heat storage performance of the molten salt.

Provided in the present invention are a flip light-emitting diode chip and a manufacturing method therefor. The flip light-emitting diode chip comprises: a substrate, and an N-type semiconductor layer, an active light-emitting layer, a P-type semiconductor layer, a current spreading layer, a first insulating layer, a Bragg reflective layer, a metal reflective layer, a second insulating layer, a connection metal layer, a third insulating layer and a bonding pad layer, which are sequentially deposited on the substrate. The connection metal layer comprises a reflective layer and a protective layer that are sequentially arranged from bottom to top; the protective layer comprises a first protective parent layer, a second protective parent layer, and a third protective parent layer that are sequentially arranged from bottom to top, the second protective parent layer comprising n first protective sublayers and second protective sublayers that are periodically stacked, the thicknesses of the first protective sublayers gradually increasing linearly toward the third insulating layer, and the thicknesses of the second protective sublayers gradually decreasing linearly toward the third insulating layer.

The invention relates to the technical field of fault testing, in particular to a dry-type air-core reactor turn-to-turn short circuit monitoring method based on a magnetic field difference method. According to the method, regularization constraint is introduced in an initial baseline stage to construct a reference electromagnetic coupling matrix, a heat accumulation index is recursively analyzed based on three-phase current energy, a thermally-induced magnetic field drift model is fitted in combination with magnetic field residual errors, and combined with combined constraint of the reference electromagnetic coupling matrix and the thermal drift model, a three-phase electromagnetic coupling model is established. The normal thermally induced magnetic field drift component is dynamically stripped in real-time monitoring; and under the constraint of a reference electromagnetic coupling matrix, fitting and optimizing a current vector through weighted least square state estimation, and integrating magnetic field and current two-dimensional deviation to obtain a structure consistency deviation index for fault monitoring. According to the invention, monitoring is carried out in consideration of a linear electromagnetic transfer rule and nonlinear thermal drift compensation, a complex magnetic field environment and a variable load operation condition of the dry-type air-core reactor are adapted, and continuous and reliable monitoring guarantee is provided for long-term stable operation of equipment.