9772 results about "Magnetic field" patented technology

The invention discloses a thunder and lightning monitoring and early warning method and system based on multi-source data fusion, and relates to the technical field of thunder and lightning early warning, and the method comprises the steps: extracting electric field time domain and frequency domain features, magnetic field change features, lightning activity modes and meteorological change features through obtaining atmospheric electric field, magnetic field, lightning activity and meteorological environment data in real time; and constructing multi-source feature data. A time sequence analysis and Bayesian fusion technology is adopted to calculate a correlation weight between data sources, and a fusion feature vector is generated. And establishing a weighted regression model based on the vector, calculating thunder and lightning occurrence probability through dynamic weight distribution, and generating a risk distribution map in combination with geographic information. The method has a closed-loop feedback optimization mechanism, model parameters and weights can be adaptively adjusted according to prediction errors and early warning accuracy, the accuracy, timeliness and environmental adaptability of lightning early warning are improved, and the method is widely applied to the fields of electric power, aviation, buildings and the like.

The invention discloses a cable life dynamic evaluation system based on multi-physics field coupling, and particularly relates to the field of industrial automation and control systems, which comprises a multi-physics field sensing module, a coupling analysis engine module, a dynamic life evaluation module, a digital twin interaction module and an environmental interference suppression module, through a distributed optical fiber temperature sensor, a capacitive electric field sensor and a magnetostrictive stress sensor, temperature, electric field, magnetic field and mechanical stress data of a cable are collected in real time, multi-physical field characteristics and a cable defect database are matched in real time by using a cross-scale dynamic association algorithm, a damage state is evaluated, and the cable defect detection accuracy is improved. A time sequence neural network architecture is adopted to predict the remaining life, model self-correction is achieved through digital twin comparison, interference is suppressed in combination with an environment-physical field coupling compensation matrix, sensing and evaluation of the health state of the cable, life prediction and continuous optimization of the model are achieved, and the efficiency of cable life evaluation is improved.

The invention provides an electromagnetic field prediction method and device and electronic equipment, and relates to the technical field of electromagnetic field solving. The method comprises the following steps: acquiring historical electromagnetic original data in a field-line coupling scene, preprocessing the historical electromagnetic original data, inputting the preprocessed historical electromagnetic original data into an LSTM-PINN model, and outputting a physical field quantity mapping result; wherein the physical field quantity comprises an electric field component and a magnetic field component; setting a weighted loss function, and performing optimization training on the LSTM-PINN model based on a physical field quantity mapping result and an error of a real physical field quantity corresponding to historical electromagnetic original data to obtain a trained electromagnetic field prediction model; wherein the weighted loss function comprises a data loss function, a physical residual loss function, an initial condition loss function and a boundary condition loss function; and inputting real-time electromagnetic original data into the trained electromagnetic field prediction model to obtain a spatio-temporal distribution electromagnetic field prediction result. The method can effectively extract the spatial distribution features and the time sequence features at the same time, and is suitable for a complex field-line coupling problem.

A physical AI-based magnetic field environment modeling method and a physical AI-based magnetic field environment modeling system are disclosed, the physical AI-based magnetic field environment modeling system comprises a data layer, a preprocessing layer, a core modeling layer and a verification and application layer, and the core modeling layer comprises a physical knowledge base and stores physical laws, material constitutive relationships and boundary conditions related to a target magnetic field environment; the model construction module is responsible for designing and constructing a main body structure of a physical AI model according to problem characteristics and a physical knowledge base; the physical AI engine represents a constructed or trained physical AI model instance, receives input and quickly outputs a predicted magnetic field value; and the model training module is responsible for training the neural network model generated by the model building module by using the preprocessed data and physical constraints in the physical knowledge base. The core innovation point of the invention lies in that a physical artificial intelligence normal form is systematically introduced and applied to the modeling process of a complex magnetic field environment, and an efficient, accurate, robust and physically consistent magnetic field modeling system is created through deep fusion of physical laws and data driven learning.

The embodiment of the invention discloses an abnormity monitoring system applied to a plasma etching machine. The abnormity monitoring system comprises constant current source equipment, a coil, a coil detection circuit and a controller, and the constant current source equipment is configured to output driving current according to preset etching process parameters; the coil is configured to generate a magnetic field in the etching cavity in response to the input of the driving current to guide the plasma to move towards the direction of the substrate so as to etch the substrate; the coil detection circuit is configured to detect coil state data of the coil; the controller is configured to generate device service information based on the coil state data. According to the embodiment of the invention, the working state of the coil is monitored through the coil state data, and the actual condition of the coil is reflected through the equipment maintenance information, so that a user can quickly know whether the coil is in an abnormal state, the user is helped to quickly position the maintenance direction, the user is prevented from detaching and maintaining the coil from the etching cavity, and the user experience is improved. And various resource investments wasted due to the fact that the coil is abnormal do not exist.

A sensor is provided, which includes an on-cell mutual-capacitance touch sensor and a RX electrode layer (RX sensor coil group) including a plurality of RX electrodes that detect a pen alternating magnetic field generated by a pen, which has accumulated energy through an alternating magnetic field from a TX electrode layer (TX sensor coil group). The TX electrode generates the alternating magnetic field for detecting a position of the pen by using an electromagnetic induction effect. In the RX electrode layer (RX sensor coil group), floating patterns, which are surrounded by touch electrodes formed by a mesh electrode pattern provided in an on-cell touch layer of the on-cell mutual-capacitance touch sensor and which are adjacent to one another in an extension direction of the RX electrodes, are connected to one another by jumper wires to linearly form RX electrode wires.

The invention discloses a metering box abnormal power consumption behavior diagnosis method and system based on edge calculation, and belongs to the technical field of power monitoring, and the method comprises the steps: collecting the voltage, current and time mark data of a metering box in real time through an edge end, synchronously obtaining the physical state information of a box door state and the like, generating a space-time feature matrix through an electric parameter space-time coupling analysis method, and carrying out the calculation of the time-space feature matrix; inputting an electric parameter feature mask pruning algorithm to obtain an optimized feature set, triggering an edge-sensing sleep wake-up linkage device when current abnormity is monitored, and collecting magnetic field data; the edge end calculates a total-branch electric energy difference value, combines the magnetic field data and a box door state, and constructs an electricity consumption abnormity classification determination tree through a metering error-electricity stealing behavior coupling diagnosis method to distinguish electricity stealing behaviors; an intermittent abnormal trajectory splicing algorithm is adopted to process fragmented abnormal data to generate an electricity stealing trajectory, and the electricity stealing trajectory is fed back to an electric parameter space-time coupling analysis method to dynamically update the space-time feature weight; according to the invention, the abnormity diagnosis precision and real-time performance are improved, and the energy consumption is reduced.

The invention provides a high-precision laser additive manufacturing method and device based on metal powder melting, and relates to the technical field of metal additive manufacturing, and the high-precision laser additive manufacturing device comprises a multi-element powder supply and electrification unit which is used for carrying out independent metering supply and airflow dispersion mixing on various metal powder in an inert atmosphere environment and enabling powder particles to obtain controllable charges; the electromagnetic field cooperative control unit is used for actively regulating and controlling the falling speed and the transverse track of the powder particles through the cooperative effect of a longitudinal magnetic field and a transverse electric field when the powder particles are in a charged state; the invention provides a metal powder forming technology path based on particle size active conveying and spatial positioning, and active conveying and accurate positioning of the metal powder particles in the flying process are realized by performing electrified regulation and control on single or small-scale metal powder particles and utilizing the action of an electromagnetic field. Therefore, layer-by-layer stacking forming is completed under the condition of not depending on the whole powder laying layer.

The present application belongs to the technical field of camera modules. Disclosed are a reflection driving assembly, a magnet assembling method therefor, a reflection module and a camera module. The reflection driving assembly comprises: a reflection base; a carrier, which is rotatably arranged on the reflection base and is adapted to carry a reflection element, the reflection element being able to reflect light rays in a direction parallel to a first axis to a direction parallel to a second axis; a reflection driving part, which comprises a second rotating magnet and a second rotating coil that are arranged opposite to each other so as to drive the carrier to rotate about a third axis with respect to the reflection base, the third axis being perpendicular to the first axis and the second axis; and a rotation position sensing part, which comprises a first sensing magnet and a first rotation sensing element that are adapted to measure the angle of rotation of the carrier about the third axis, the first sensing magnet and the second rotating magnet being arranged opposite to each other in a direction perpendicular to the third axis, and the first rotation sensing element being adapted to simultaneously sense magnetic fields of the first sensing magnet and the second rotating magnet. The present application can accurately sense the position of rotation of the carrier about the third axis, so as to implement closed-loop control.

The invention relates to the technical field of quantum sensing and ocean detection, and discloses an ocean magnetic field sensor based on an NV color center and an ocean magnetic field measuring method.The sensor comprises a cylindrical pressure-resistant cabin, an optical platform arranged in the pressure-resistant cabin and a main control panel; a laser, a beam shaping unit, a dichroscope, a beam shaping lens group, an objective lens, a diamond NV color center chip, a plano-convex lens I, a band-pass filter and a photoelectric detector are mounted on the optical platform; two microstrip loop antennas are mounted on the outer side of the diamond NV color center chip; an FPGA + ARM dual-core processor, a digital lock-in amplifier and two microwave signal generators are installed on the main control board, and the microwave signal generators are connected with the microstrip loop antenna and achieve electromagnetic coupling with the diamond NV color center chip. The invention has the advantages of high sensitivity, good long-term stability and strong anti-interference capability, and provides a new generation of quantum sensing solution for applications such as ocean geomagnetic monitoring and underwater target identification.

The invention provides a synthetic antiferromagnetic memory cell driven by spin orbit moment without magnetic field assistance, and belongs to the technical field of magnetic memory, the synthetic antiferromagnetic memory cell comprises a magnetic tunnel junction of a multilayer film structure, the magnetic tunnel junction comprises a heavy metal layer and a synthetic antiferromagnetic free layer located on the heavy metal layer; the tunneling insulating layer is located on the synthetic antiferromagnetic free layer, the reference layer is located on the tunneling insulating layer, and the metal electrode layer is located on the reference layer; wherein the synthetic antiferromagnetic free layer comprises an inclined vertical magnetic layer, a non-magnetic metal layer and a coupling magnetic layer which are stacked in sequence, and the inclined vertical magnetic layer and the coupling magnetic layer are subjected to antiferromagnetic coupling through the middle non-magnetic metal layer; the inclined perpendicular magnetic layer has inclined perpendicular anisotropy. According to the invention, deterministic magnetization flipping driven by spin orbit moment and resistance state control of the magnetic tunnel junction memory cell without the assistance of an external magnetic field are realized.

The invention discloses a non-contact electric power parameter measurement method, system and device, and a storage medium. The method comprises the steps of obtaining a first output voltage signal and a second output voltage signal generated by induction of a space electric field around a to-be-measured wire; establishing an equation set of a to-be-measured voltage phasor based on the first output voltage signal and the second output voltage signal, and solving the equation set of the to-be-measured voltage phasor to obtain a parameter of the to-be-measured voltage; acquiring a magnetic field measurement signal generated by a space magnetic field around the to-be-measured wire; and establishing an equation set of the current to be measured according to the magnetic field measurement signal, and solving the equation set of the current to be measured to obtain parameters of the current to be measured, thereby effectively solving the problem that the gain and the phase shift are unknown after the probe is connected.

The invention provides an underwater target multi-sensor fusion magnetic field measurement system in a complex magnetic environment, which relates to the technical field of marine equipment and comprises a multi-mode magnetic field sensing module, an attitude correlation correction module, a layered fusion processing module and an environment self-adaption and magnetic anomaly detection module. The multi-modal magnetic field sensing module is responsible for collecting multi-dimensional and multi-type original magnetic field data around the underwater vehicle and constructing a complete magnetic field observation basis, and the attitude correlation correction module is used for eliminating the influence of the motion attitude change of the underwater vehicle on magnetic field measurement. The hierarchical fusion processing module performs hierarchical fusion on multi-sensor data; the environment self-adaption and magnetic anomaly detection module realizes background magnetic field separation, interference suppression and magnetic anomaly target identification; according to the system, the magnetic field measurement precision and robustness of the underwater vehicle in a complex magnetic environment can be improved, and high-reliability magnetic field feature extraction and situation awareness functions are realized.

The invention provides a non-intrusive diagnosis method for typical rotor faults of a synchronous phase modifier, and the method comprises the steps: carrying out finite element modeling and fault working condition setting, carrying out simulation to obtain magnetic field distribution data under each working condition, carrying out the extraction and feature analysis of stray magnetic field signals, extracting time domain and frequency domain signals of a stray magnetic field under healthy and various fault working conditions, and carrying out the diagnosis of the typical rotor faults of the synchronous phase modifier. Fundamental wave, odd-even harmonic components and signal change trends are compared and analyzed, stray magnetic field characteristics corresponding to faults are extracted and recognized, diagnosis criterion establishment and fault recognition are carried out, diagnosis criteria and threshold values of rotor turn-to-turn short circuit, dynamic eccentricity and shaft-diameter composite eccentricity faults are established according to the stray magnetic field characteristics, and the fault diagnosis accuracy is improved. And when the specific harmonic amplitude or change characteristic of the stray magnetic field signal exceeds the criterion threshold, determining the rotor fault of the corresponding type and degree. Equipment dismounting or structure reconstruction is not needed, the detection system is simple in structure, internal fault characteristics of the phase modifier can be reflected in real time, and high sensitivity and practicability are achieved.

The invention relates to a multi-phase reluctance type micro servo motor parameter design method, system and device, and the method comprises the steps: obtaining excitation magnetic field characteristics and target performance demands of a servo motor, and carrying out the structure differentiation configuration, and obtaining mechanical structure parameters; performing multi-phase excitation electromagnetic performance calculation on the mechanical structure parameters according to motor thermal boundary conditions of the servo motor to generate an electromagnetic performance index set; performing integrated heat dissipation structure design based on the electromagnetic performance index set and the mechanical structure parameters to obtain heat dissipation structure data; and iteratively integrating the mechanical structure parameters, the electromagnetic performance index set and the heat dissipation structure data to obtain a motor structure design scheme. By integrating an electromagnetic performance index set and mechanical structure parameters in integrated heat dissipation construction, collaborative optimization of a heat dissipation network and an electromagnetic core is realized.

The invention provides a current sensor. The current sensor adopts a magnetic-core-free design, and adopts a diversion row group with a special structure to guide a target current so as to enhance the electrifying capability of the current sensor and reduce the adverse effect of a high-frequency current skin effect on measurement. Based on the structural characteristics of the diversion row group, the magnetic sensitive component for measuring the target current and the corresponding sensing signal processing method are arranged in a matched manner, so that the measurement precision of high-frequency large current is improved, the suppression capability of an interference magnetic field is improved, and the signal-to-noise ratio of an effective measurement signal is increased. The current sensor provided by the invention is compact in structure, simple in manufacturing process, strong in electrifying capability and high in signal-to-noise ratio of a sensing signal, not only widens the measuring range of the current sensor, but also effectively improves the measurement precision of high-frequency large current, and expands the application range of the magnetic-core-free current sensor.

The present invention relates to the technical field of transformer fault detection. Disclosed is a transformer early fault diagnosis method based on the difference between virtual and actual winding leakage magnetic field waveforms, comprising: collecting leakage magnetic field information of a non-ideal winding structure transformer by means of fiber-optic magnetic field sensors; decomposing a winding of the non-ideal winding structure transformer into a plurality of regular windings; superposing leakage magnetic fields at the ends of a plurality of regular windings to obtain a non-ideal winding end leakage magnetic field; calculating a leakage flux matrix leakage inductance parameter and a leakage magnetic field output matrix parameter on the basis of the non-ideal winding end leakage magnetic field; establishing a circuit-leakage magnetic field multi-state digital model corresponding to the transformer; and using the difference between an actual transformer leakage magnetic field waveform and a digital transformer model virtual leakage magnetic field waveform as a fault characteristic quantity, completing threshold calculation and early fault sensitivity verification, forming a waveform difference-based early fault diagnosis criterion, and determining a fault position. The present invention can achieve quick and sensitive diagnosis of early faults of transformer windings and improves device operating reliability.

The invention belongs to the technical field of geological engineering monitoring and multi-physics field intelligent sensing, and discloses a separation grouting slurry migration monitoring method and system, and the method comprises the steps: constructing an acoustics-optics-electricity-electromagnetism multi-physics field coupling monitoring system; a grouting hole and a monitoring drilling hole array are arranged in a target stratum, a distributed optical fiber sensor, a drilling hole ultrasonic imager, a resistivity measuring device and a transient electromagnetic detection device are installed, and a three-dimensional monitoring network is formed; synchronously acquiring sound field, light field, electric field and magnetic field data; four-field monitoring data and overlying strata multi-parameter observation data are fused, a coal seam mining three-dimensional overlying strata separation model is constructed, and a slurry diffusion three-dimensional visualization model is generated through numerical simulation; and based on the four-field monitoring response difference of the separation space before and after grouting, in combination with a monitoring frequency domain correction model of multiple indexes of grout diffusion, the diffusion range, compactness and filling effect of the grouting grout are evaluated, and abnormal early warning is triggered.

The utility model discloses a battery monomer, a battery device, a power utilization device and an energy storage device, the battery monomer comprises a shell, an electrode assembly, an electrolyte and a first magnetic field generation mechanism, and the electrode assembly is accommodated in the shell; the electrolyte is contained in the shell and comprises a magnetorheological material; the first magnetic field generating mechanism is arranged on the shell and is used for generating a magnetic field; the first magnetic field generating mechanism is configured to adjust the intensity of the magnetic field according to the expansion of the battery monomers; according to the embodiment of the invention, the single battery can quickly reach the protection cut-off voltage during overcharging, so that the risk of thermal failure in the single battery is reduced, and the reliability of the single battery is improved.

The invention discloses an MEMS and TMR fused overhead line lightweight monitoring device, and the device comprises an annular shielding cover which sleeves a to-be-detected overhead conductor and is coaxial with the to-be-detected overhead conductor, and the side wall of the annular shielding cover is provided with a through hole; the sensing unit comprises at least two MEMS electric field sensors and at least two TMR magnetic field sensors and is used for detecting an electric field and a magnetic field generated by the overhead conductor to be detected; the analysis processing unit is used for receiving, processing and transmitting the signal generated by the sensing unit; and the power supply unit is arranged in the annular shielding cover and is electrically connected with the sensing unit and the analysis processing unit. The beneficial effect of the invention is that the coupling crosstalk phenomenon generated by an external electromagnetic field can be effectively suppressed. Moreover, the monitoring device is small in size, is convenient to install and deploy in a complex line environment, provides a stable hardware basis for precise inversion of voltage and current through structural cooperation, and provides reliable support for intelligent monitoring of an overhead line.

The invention discloses a laser frequency stabilization system based on Faraday anomalous dispersion atomic filtering, which is used for carrying out frequency stabilization on phase modulation multi-sideband laser, and comprises a frequency doubling laser unit which is configured to comprise a fundamental frequency seed light source, an electro-optical modulator, a fundamental frequency amplifier and a frequency doubling crystal; the light splitting module unit is configured to split the frequency doubling light into a main output light path and a monitoring light path; the atomic optical rotation filter is located on the monitoring light path and is configured to maintain the purity of the frequency-stabilized laser spectrum through purification treatment under the control of the axial magnetic field and the temperature; the frequency stabilization unit is configured to be a frequency stabilization light path and a servo system, and the frequency stabilization light path is used for obtaining laser frequency information and generating an error signal; the servo system is used for controlling the frequency of the fundamental frequency seed light source according to the error signal feedback. According to the laser frequency stabilization system provided by the invention, the spectrum purification and frequency stabilization precision can be improved, so that high-frequency stability locking is realized.

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.

The inductive position detector includes: a stator having a wiring board; a rotor having a non-conductive component disposed in opposed relation to the stator and rotatable relative to the stator about a rotation axis; a conductor pattern held by the non-conductive component so as to have cyclicity (geometrical periodicity) circumferentially about the rotation axis, and movable to pass through a rotation track defined about the rotation axis as the rotor is rotated; and a plurality of chip inductors surface-mounted on a major surface of the wiring board of the stator in opposed relation to the rotation track so as to have different spatial phases with respect to the conductor pattern, and respectively serving as detection coils that detect a magnetic field change occurring due to the passage of the conductor pattern.

The utility model discloses a valve device and a semiconductor device processing device. The valve apparatus includes: a valve body including an external coil therein; the valve plate is movably arranged in the valve body, and the opening degree of the valve equipment is adjusted by adjusting the pose of the valve plate; and an internal coil provided inside the valve plate, the internal coil generating an eddy current through an alternating magnetic field generated in the valve body by an alternating voltage applied to the external coil to inductively heat the valve plate. By means of the valve equipment, the surface of the valve plate can be directly heated, the temperature of the valve plate is increased, and therefore blockage of the valve plate caused by deposition of reaction by-products on the valve plate in the carbon mask deposition process is reduced.

The invention discloses a gas meter power supply abnormity monitoring system and method based on a signal acquisition technology, and relates to the technical field of gas meter power supplies, the system comprises a multi-dimensional sensing module, a dynamic adaptive module, a multi-dimensional fusion analysis module, an intelligent judgment module and a verification execution module; according to the invention, the multi-dimensional fusion analysis module accurately calculates key parameters such as a power supply ripple coefficient and load transient response time in a corresponding mode, the electromagnetic interference intensity is calculated through professional algorithms such as discrete Fourier transform in combination with an environment electric field and a magnetic field sequence, a threshold value is dynamically adjusted based on a working mode, and a comprehensive score is calculated through multi-parameter deviation weighted fusion. The power supply state is deeply and comprehensively evaluated; the intelligent judgment module scientifically divides anomaly levels according to comprehensive scores, quantifies and distinguishes real anomaly and environmental interference by means of an environmental interference contribution degree formula, solves the problem that traditional monitoring cannot accurately recognize power anomaly under complex working conditions, and improves anomaly judgment accuracy.

A subsurface safety valve for a wellbore for production of fluids from a subsurface formation comprises a drive portion and an actuator portion. The drive portion comprises a first magnet assembly and the actuator portion comprises a second magnet assembly that is magnetically coupled to the first magnet assembly. At least one of the first magnet assembly or the second magnet assembly comprises a spatially rotated array of magnets arranged such that a magnetic field emitted from an operative side of the spatially rotated array of magnets facing a magnetic coupling is non-zero and such that the magnetic field emitted from a non-operative side of the spatially rotated array of magnets that is opposite the operative side is about zero.

The invention discloses a flexible heat-conducting composite material with chain-shaped boron nitride and a preparation method, and belongs to the technical field of flexible electronic device heat management materials, the flexible heat-conducting composite material comprises an elastomer matrix and a magnetic functionalized boron nitride filler filled in the elastomer matrix; the elastomer matrix is polydimethylsiloxane; the magnetic functionalized boron nitride filler is prepared by modifying Fe3O4 nanoparticles on the surface of a boron nitride sheet; the boron nitride sheets form a vertically arranged chain structure in the elastomer matrix. The chained vertical arrangement of the boron nitride sheets is realized by prolonging the magnetic field treatment time, the Fe3O4 modification quantity is controlled to optimize the balance between the magnetic responsiveness and the heat-conducting property, a chained heat-conducting network connected end to end is formed, and the thermal seepage threshold value is reduced. According to the flexible composite material and the preparation method thereof, boron nitride sheets are induced to be vertically arranged through a magnetic field to form a chain-shaped heat-conducting network, so that high heat conductivity under low filler loading capacity is realized, and excellent stretchability is kept at the same time.

The invention discloses an underwater magnetic field measuring device based on a diamond NV color center. The underwater magnetic field measuring device comprises a diamond NV color center module, an incident laser excitation module, a multi-path optical coupling module, a microwave excitation module, a fluorescence acquisition and photoelectric conversion module, a signal processing and control module and a magnetic field module, the multi-path optical coupling module is used for dividing an optical fiber into multiple paths and collecting fluorescence generated by the diamond block; the microwave excitation module is used for switching between two single-quantum resonance frequencies to drive an NV color center to realize double-quantum DQ reading; and the signal processing and control module comprises an FPGA (Field Programmable Gate Array) processing unit of a field programmable logic array chip. According to the invention, a dual-quantum DQ working point of a diamond NV color center is used as a measurement channel, common-mode influence of D is removed through differential measurement, the problem of D drift caused by temperature drift, stress and material aging is physically and obviously inhibited, and the device can still realize ultrahigh-sensitivity measurement in a complex underwater environment.

The invention discloses an insulator leakage current non-contact measurement method and system based on magnetic field sensing, and belongs to the technical field of electrician measurement, and the method comprises the steps: collecting original magnetic field data and environmental parameter data; performing interference stripping processing on the original magnetic field data based on the environmental parameter data to generate corrected magnetic field data; performing time-frequency analysis and noise suppression processing on the corrected magnetic field data to obtain leakage current characteristic data; performing inversion calculation by using the leakage current characteristic data to obtain a leakage current value; in combination with historical leakage current data, executing state evaluation processing to generate an insulator state; and according to the insulator state, automatic optimization processing is executed, and magnetic field sensor array gain and interference stripping processing parameters are adjusted. According to the invention, the technical scheme of multi-source sensing data fusion, interference stripping, physical inversion calculation and state evaluation closed-loop feedback optimization is adopted, and high-precision non-contact measurement and intelligent state evaluation of the leakage current of the insulator can be realized.

Development of technologies for effectively suppressing edge localized modes (ELM), maintaining core plasma stability, controlling plasma rotation, adjusting edge transport barriers, achieving smooth transitions between different plasma regimes, minimizing error magnetic fields, sustaining plasma for long periods, stabilizing fusion power, controlling plasma impurities, and optimizing plasma-wall interactions simultaneously in tokamak fusion reactors. [Solution] We provide an adaptive edge-localized 3D magnetic field control system that organically links a real-time plasma state monitoring system, a 3D magnetic field response prediction model, a flexible 3D coil system, an adaptive control algorithm, a plasma regime transition management system, an integrated control interface, a high-precision magnetic diagnostic system, a fusion power control system, a plasma impurity control system, and a plasma-wall interaction optimization system.