192 results about "Field strength" patented technology

The invention relates to the technical field of connector detection, and discloses a reliability detection method based on a connector. The method comprises the following steps: acquiring real-time monitoring data of a multi-channel electrical sensor of a connector in a power-on state, wherein the real-time monitoring data covers a contact impedance fluctuation sequence, temperature rise gradient distribution and an electromagnetic leakage intensity spectrum; performing time-frequency domain fusion processing on the monitoring data, and extracting dynamic characteristic parameter sets such as impedance attenuation rate, heat conduction lag coefficient and field intensity distortion factor of each contact point; then, according to the parameter space distribution difference, a three-dimensional degradation model comprising a material performance attenuation layer, a contact surface deformation topology layer and an insulating medium loss layer is constructed; coupling mechanical stress and electric heating field intensity distribution based on the model, and generating life prediction indexes of each region; and finally, completing reliability grading according to the indexes, and outputting a detection report with key failure position marks. According to the method, comprehensive and accurate evaluation of the reliability of the connector is realized, and an effective technical path is provided for quality control of the connector.

The invention provides a keyless entry system calibration method and apparatus, an electronic device and a medium. The method comprises the steps of determining a first region and a second region according to a to-be-calibrated function of a target antenna, a first field intensity threshold and a second field intensity threshold; the first field intensity threshold value is greater than the second field intensity threshold value; the second area comprises the first area; based on the position of the key in the expansion area, determining a first field intensity measurement value and a second field intensity measurement value corresponding to the position; the first field intensity measurement value is the field intensity measurement value of the key relative to the target antenna, and the second field intensity measurement value is the field intensity measurement value of the key relative to at least one other antenna on the vehicle; the expansion area is an area which is in the second area and is not in the first area; determining a judgment rule set according to the to-be-calibrated function; and determining a target field intensity threshold value corresponding to the to-be-calibrated function according to the judgment rule set, the first field intensity measurement value and the second field intensity measurement value.

The invention discloses a signal enhancement method and device in an industrial plant area, and relates to the field of wireless communication, and the method comprises the steps: firstly, obtaining complete channel state information, and guaranteeing that all decisions are based on real channel characteristics instead of theoretical assumptions; and secondly, if the complete channel state information does not meet the target QoS demand quantization parameter, maximizing a receiving signal to interference plus noise ratio and meeting the target QoS demand are taken as optimization targets, an optimization result is obtained based on channel field intensity distribution information of a preset digital twin model, and finally, the optimization result is controlled and executed to form closed-loop feedback. According to the method, optimization is carried out based on channel field intensity distribution information of a unit space in a digital twin model, and a complex problem needing to be solved by a high-dimensional iterative solution algorithm in related technologies is converted into table lookup and interpolation operation based on space coordinates, so that the calculation complexity is remarkably reduced, the time for obtaining an optimization result is greatly shortened, and the calculation efficiency is improved. Therefore, the time when the terminal is in a poor-quality signal state is greatly reduced.

The invention provides a regional electromagnetic intelligent evaluation method and system based on spectral entropy weighting, and the method comprises the following steps: collecting electromagnetic spectrum data and the motion state of a patrol vehicle, and constructing a virtual aperture data matrix through the motion information; space covariance analysis and subspace projection are carried out on the matrix, multipath scattering interference is separated and eliminated, and a pure field intensity sequence is obtained through reconstruction. By calculating the normalized spectrum entropy of the Doppler power spectrum of the pure field intensity sequence, an inverse proportion weight coefficient representing the signal confidence is generated; and weighting the weight to a pure field intensity sequence, and mapping the pure field intensity sequence to a geographic space. And dynamically adjusting the density of the evaluation grid according to the field intensity gradient, and finally carrying out weighted centroid calculation based on inverse proportion weight to obtain a regional electromagnetic environment evaluation result. According to the method, the technical problem that a regional evaluation result is not accurate due to the fact that multipath components cannot be separated and single-point data quality cannot be evaluated in traditional mobile patrol is solved.

The invention relates to the technical field of magnetic material detection, in particular to a magnetizing body performance detection method and system and a medium, and the method comprises the steps: constructing a directional coupling magnetic circuit, enabling a magnetic sensor to synchronously sweep along the length direction of a magnetizing chain, applying external excitation, collecting signals in real time, and detecting the performance of a magnetizing body through the convergence effect of the directional coupling magnetic circuit on leakage magnetic flux. In the scanning process, a leakage magnetic flux space distribution spectrum on the surface of a magnetizing chain is collected, signal feature analysis is conducted on the leakage magnetic flux space distribution spectrum, a local field intensity distortion area is recognized, a defect fingerprint feature vector is generated, the defect fingerprint feature vector is compared with a preset eligibility criterion threshold value, and the eligibility of the magnetizing chain is judged. Therefore, the performance of each magnet in the magnetizing chain is judged and analyzed, the detection sensitivity of early defects and recessive magnet performance degradation is effectively improved, and the signal-to-noise ratio of an unqualified magnet identification signal is improved.

The invention relates to the technical field of wireless communication, and discloses an adaptive LDPC code coding method, system and device based on evaporation waveguide field intensity distribution, and a medium, and the method comprises the steps: obtaining the evaporation waveguide field intensity distribution in real time, and generating a field intensity distribution diagram; calculating a channel state parameter, and dynamically selecting a low-density parity check code rate according to the channel state parameter information; dynamic low-density parity check coding is adopted, and a sparse structure is adjusted through a check matrix, so that real-time switching of multi-code-rate low-density parity check codes is carried out; and a receiving end carries out decoding by adopting an NW-RBP decoding algorithm, defines a node updating rule, and dynamically schedules a node updating sequence through a residual error. According to the method, the bit error rate under a complex channel is reduced, and meanwhile, the reliable transmission efficiency of system data is improved.

The invention relates to the technical field of field intensity prediction, in particular to a medium-wave broadcast-based field intensity prediction method and system, and the method comprises the following steps: obtaining the environment space information of an emission source for medium-wave broadcast, and constructing an environment model of the emission source based on the environment space information; rasterizing the target area of the emission source based on the prediction model to form a plurality of grid receiving points; predictive control information is configured for the emission source based on the predictive model, and the predictive control information comprises a vernier and a selection frame chain corresponding to the vernier; driving the verniers to sequentially move in the target area along the propagation direction; the field intensity value of the vernier at each position is predicted based on the selection frame chain of the vernier, the grid points meeting the preset field intensity condition are connected to form the field intensity range contour, the field intensity range and the field intensity values of the grid points in the field intensity range are output to serve as the final prediction result, and the accuracy of field intensity prediction can be effectively improved.

The application discloses a near electric field alarm safety helmet and an alarm method for omnidirectional field intensity vector monitoring, and relates to the field of electric power safety protection. The safety helmet comprises an omnidirectional field intensity sensing array, a vector field signal processing module and an alarm module which are assembled on a safety helmet body. The omnidirectional field intensity sensing array comprises at least five electric field sensors which are arranged on the top of the safety helmet body and around the brim of the safety helmet body. The vector field signal processing module is used for acquiring electric field intensity components collected by the electric field sensors, and performing vector synthesis on the electric field intensity components to determine the spatial electric field intensity and the field source direction. The spatial electric field intensity is compared with preset safety threshold values and critical threshold values respectively to determine the alarm level of the position where the safety helmet is located. The alarm module is used for outputting corresponding alarm prompts according to the alarm level. The spatial electric field intensity and the field source direction are determined by synthesizing electric field intensity components in different directions, thereby solving the problem that the electric field detection result of the existing safety helmet is inaccurate.

The present application relates to the technical field of channel prediction, in particular to a field strength prediction method and system based on short wave broadcasting, comprising the following steps: acquiring frequency sequence data, calculating jump rate, labeling predetermined jump characteristic frequency band, combining geographical and ionospheric elements to identify path height variation, extracting reflection angle and power change mapping deformation area, and superimposing directivity and strain intensity to predict field strength interval map. In the present application, by synchronously associating geographical space and ionospheric state elements on the basis of frequency sequence feature recognition, the trend of reflection path height variation is mapped through frequency jump behavior, field strength prediction value extraction and directivity attenuation superposition processing under spatial grid granularity are realized, multi-source correlated data is used as support to calibrate the field strength distribution interval of the prediction area, the adaptability and prediction resolution of field strength evaluation under non-static propagation conditions are enhanced, and a prediction framework with time-varying recognition, path feedback and power decrement linkage capability is constructed.

A user device including near-field communication (NFC) circuitry may receive a polling message from an NFC terminal. The user device may obtain information based at least in part on the polling message. The user device may determine a characteristic of the NFC terminal based at least in part on the information. The characteristic may be indicative of a radio frequency (RF) field strength of the NFC terminal. The user device may adjust an RF setting of the NFC circuitry based at least in part on the characteristic. The RF setting may correspond to an RF sensitivity of the NFC circuitry.

The invention relates to a method for determining the position of a radio-based communication device (20) in relation to a motor vehicle (10) having several radio antennas (12, 14, 16, 18, 20), wherein first radio signals are transmitted by means of the radio antennas, which the communication device receives, received field strengths for the first radio signals are recorded, received field strength data are determined and transmitted to the motor vehicle by means of a second radio signal, wherein the position of the communication device (22) takes into account predetermined antenna-specific field strength distribution data, wherein the field strength distribution data specify a field strength distribution for each radio antenna in relation to an ambient area (24) of the motor vehicle.The invention provides that, depending on the antenna-specific field strength distribution data in the area surrounding the motor vehicle, at least horizontally adjacent segment areas (26, 28, 30, 32) are determined, and for each segment area at least one of the radio antennas is determined which is more sensitive for this segment area than at least one other of the radio antennas, wherein the position of the communication device is determined depending on an assignment of the received field strength data to the respective segment areas.

The present application relates to the technical field of test device, especially to a multi-field coupling accelerated corrosion test device for simulating power grid environment, comprising a salt mist field regulation system, a temperature field regulation system, a humidity field regulation system, an electric field regulation system, a magnetic field regulation system and a real-time monitoring system integrated in a test box, and a central control system adopting parallel bus communication mode and internally provided with a hierarchical signal dynamic scheduling mechanism for priority grading, isolated transmission and bandwidth on-demand allocation of all measurement and control signals of each regulation system, a multi-field synchronous time sequence calibration mechanism for unifying the operation time sequence of each regulation system and adding a global time reference stamp to all measurement and control signals. The present application can avoid the problems of weak electrochemical monitoring signal and distortion loss of dynamic field strength signal, eliminate the multi-physical field loading time sequence disconnection problem caused by independent operation of each system, and improve the authenticity of power grid complex multi-field coupling service environment simulation and the reliability of test data.

This invention relates to the field of underground pipeline location and detection technology, and discloses a method and system for underground pipeline detection based on tracer signals. The method includes: associating a tracer with an underground pipeline; acquiring underground pipeline tracer signals to obtain a target pipeline detection dataset; obtaining the target pipeline detection dataset; comparing and verifying the target pipeline detection dataset with a special identification code to obtain a verification result; acquiring the field strength and phase information of the verified tracer signals to obtain target pipeline information data; obtaining comprehensive positioning data of the target pipeline's horizontal position and burial depth based on the target pipeline information data; and comprehensively analyzing the target pipeline's identity attributes and the comprehensive positioning data to obtain the target pipeline detection result. This invention can thus integrate multi-source detection tracer signals, deeply explore the correlation between pipeline identity attributes and target pipeline location and detection results, and accurately capture special identification codes.

The application discloses a pulse source for SiC MOSFET high-field stress reliability test, which comprises a main switch circuit, a high-voltage module, a driving circuit and an auxiliary power supply; the main switch circuit is connected with the high-voltage module and the driving circuit respectively, and the driving circuit is connected with the auxiliary power supply; the high-voltage module provides high voltage with sufficient power for the main switch circuit; the auxiliary power supply is used for providing various required voltages for the driving circuit; the driving circuit provides a gate driving signal with sufficient power for the main switch circuit; the main switch circuit bears high voltage output by the high-voltage module, performs switching action according to the gate driving signal output by the driving circuit, and outputs a specified high-voltage pulse waveform. The application can apply drain-source voltage with a voltage change rate as high as several thousand volts to SiC MOSFET high-field stress reliability test, and the voltage pulse waveform is controllable, and the application has the advantages of small size, high voltage resistance, simple driving, high power density and the like.

This invention discloses a system and method for testing the radio frequency interference (RFI) immunity performance of train vehicle equipment. The system includes a test terminal, a mobile terminal, an adjustable bracket, an antenna, and a field strength probe. The mobile terminal houses a power supply and an immunity signal generator. The power supply powers the test terminal and the immunity signal generator, and the immunity signal generator generates and amplifies the RF modulation signal. The test terminal is located on one side of the top of the mobile terminal. This system and method for testing the RFI immunity performance of train vehicle equipment utilizes a mobile terminal connected to the test terminal, antenna, field strength probe, and immunity signal generator to perform RFI immunity testing. The immunity signal generator simulates the RF interference environment, eliminating the need for an anechoic chamber. Testing can be conducted directly within the train carriages after the train assembly is completed and all functions are properly debugged, improving the overall mobility and portability of the testing system.

The invention discloses a fault diagnosis method and system for a transformer, and relates to the technical field of fault diagnosis, and the method comprises the steps: obtaining the discharge type probability distribution and the optimal electromagnetic excitation frequency band based on a discharge feature matrix, and generating an electromagnetic excitation protocol and a spatial feature vector through a frequency band matching algorithm; the method comprises the following steps: acquiring three-dimensional magnetic field distribution data according to an electromagnetic excitation protocol, reconstructing three-dimensional electromagnetic field distribution in a transformer by using an intelligent inversion algorithm, preliminarily identifying a transformer fault area through field intensity gradient analysis and SVM, and acquiring three-dimensional coordinates and an energy density value of the fault area; based on the three-dimensional coordinates and the energy density values of the fault areas, secondary fault verification is carried out through cross validation, effective fault areas of the transformer are screened, and a diagnosis report is generated. According to the transformer fault diagnosis method, dual jump of the transformer fault diagnosis method in feature extraction and spatial analysis is realized through the synergistic effect of the quantum convolutional neural network and the intelligent inversion algorithm.

This invention discloses a comprehensive management method for transparent inspection of power grid materials based on the Internet of Things (IoT), belonging to the field of power material management technology. The method includes the following steps: deploying a three-axis vector probe array at the material entry channel to collect multi-point spatiotemporal signals and calculate the field strength distribution, generating an electromagnetic disturbance spatiotemporal matrix, and outputting a radio frequency identification (RFID) tag resonance drift risk matrix. This invention models electromagnetic disturbance sources using a three-axis vector probe array, combines resonance registration fingerprinting and frequency band compensation to achieve dynamic correction of RFID frequency drift, and integrates phase-encoded backscattering and strain acoustic features to ensure identification consistency. By utilizing optical time reference synchronization and phase-programmable metasurfaces to reconstruct the near-field environment, an adaptively adjustable identification space is constructed, improving the identification stability and traceability reliability of power grid materials under high-disturbance environments, thus breaking through the bottlenecks of traditional identification technologies.

The invention discloses a multi-frequency point calibration test method and system for 0-10 Hz ultralow frequency magnetic field immunity. The method comprises the steps of system building, single frequency point reference calibration, test execution and exception handling. When the system is built, the hardware modules are connected according to a specific mode; in the calibration stage, references are established for frequency points of 2Hz, 4Hz, 6Hz and 8Hz; during testing, precise field intensity control and data recording are realized through combination of coarse adjustment and fine adjustment; and verifying the probe position when abnormity occurs. The system comprises an arbitrary function generator, a power amplifier, a radiation ring and a gauss meter, and parameters of each module are adaptive to a frequency band of 0-10Hz. The field intensity larger than or equal to 1000 A / m can be stably generated, the testing precision is improved, the 0-10 Hz frequency band standard testing blank is filled, and the device is suitable for electronic equipment testing in the fields of industrial automation, new energy automobiles and the like.

The invention discloses a photoelectric sensor system conversion efficiency calibration system and method based on a reverberation chamber, and belongs to the technical field of photoelectric sensor conversion efficiency calibration, the system comprises an electric wave reverberation chamber, a transmitting antenna, a reference antenna and a photoelectric field sensor system; the photoelectric field sensor system is composed of a photoelectric sensor, a laser source, a photoelectric detector, a polarization maintaining optical fiber and a single-mode optical fiber. In the calibration process, the reference antenna and the photoelectric sensor system are used as receiving ends respectively, receiving power at different stirring positions in the reverberation chamber is sampled to obtain two groups of transfer functions, and the total efficiency of the photoelectric sensor system is determined by comparing the two groups of transfer functions under the condition that the radiation efficiency of the reference antenna is known. The conversion efficiency of the photoelectric sensor system is obtained by combining the relation among the power, the field intensity and the total efficiency in the free space; and the effective averaging of the incident direction and the polarization state is realized by using the uniform and isotropic electromagnetic field characteristics of the reverberation chamber.

The invention discloses an automobile intelligent key positioning method, device and system and a storage medium, a built-in sensor of an intelligent key receives a field intensity signal emitted by a body control module BCM through a low-frequency antenna, a set membership filtering algorithm is adopted to carry out optimization processing on sensor data, and then an ellipsoid confidence region containing a real field intensity value is constructed; therefore, the robustness of key position judgment is obviously improved. By the adoption of the technical scheme, the problem that in the prior art, key positioning based on Bluetooth signal strength or a traditional filtering algorithm is prone to being affected by signal jitter and instantaneous interference, and consequently judgment inside or outside a vehicle is inaccurate is solved.

The invention relates to the field of cell antenna factor calibration, in particular to a power domain estimation method and device based on GTEM cell antenna factor calibration. The scheme comprises the following steps: determining a working frequency band according to application requirements, and selecting a plurality of calibration frequency points in the working frequency band; performing reference field intensity calibration on each selected calibration frequency point; measuring an initial azimuth angle based on the GTEM cell; measuring noise power, and establishing a noise power matrix; measuring the receiving power under the full angle; subtracting the corresponding noise power from the measured receiving power to obtain net signal power; calculating an antenna factor of the antenna under the current set angle and the calibration frequency point according to the antenna factor definition; and finally, calibrating and verifying the antenna factors. The method is suitable for power domain estimation based on GTEM cell antenna factor calibration.

The embodiment of the invention provides a multi-site collaborative electromagnetic spectrum situation prediction method based on multi-source data fusion and an attention mechanism, and the method comprises the steps: 1, collecting spectrum observation data, spatial data and meteorological data of multiple sites, and carrying out the data preprocessing; step 2, based on prior knowledge and GIS data, calculating a theoretical field intensity value of a known emission source at each monitoring station by using a radio wave propagation model; step 3, constructing a multi-branch fusion neural network MFNN based on 3D-CNN, LSTM, GCN and MLP, extracting joint feature representation of multi-source data in the step 1 and the step 2, and introducing an adaptive attention mechanism to perform weighted fusion on each branch feature; and 4, generating a predicted value of a future frequency spectrum state through a prediction output layer, and performing data inversion to obtain a physical power value to realize channel state inference. Structured information capable of directly driving a decision is output through data inversion and channel state inference.

This invention discloses an indoor wireless signal coverage prediction method based on Monte Carlo integration. A transmitting antenna and receiver are deployed within an indoor scene. The geometric model of the indoor scene and the attribute parameters of the transmitting antenna are acquired and input into a computer to build a simulation model. Rays are generated to describe electromagnetic wave propagation for simulation. Through multiple iterative processing, an indoor wireless signal coverage map is predicted. This process is repeated, applying random rotations for multiple simulations, and the final indoor wireless signal coverage prediction result is obtained by combining the results. This invention avoids performing path search and field strength calculation for each receiver point individually, significantly improving computational efficiency. It also avoids the exponential growth problem of ray number caused by ray splitting in traditional ray tracing, thus significantly reducing memory usage and improving computational efficiency. This enhances the stability and accuracy of signal coverage prediction, enabling rapid acquisition of signal coverage information in complex indoor scenes while maintaining prediction accuracy.

A method and system are directed to calibrating a radio frequency identification (RFID) printer, the method comprising retrieving frequency hopping capability from an RFID module coupled to the RFID printer, performing a plurality of calibration read and write operations to the calibration RFID label at a plurality of given positions using the RFID module based on a plurality of combinations comprising one or more field strengths, one or more sets of EPCC1G2 standard-based RFID parameters, and the frequency hopping capability, determining best one or more of a plurality of results associated with the plurality of calibration read and write operations, determining a tag antenna orientation of the calibration RFID label based on the plurality of results, and storing one or more optimal configuration settings in printer firmware of the RFID printer based on the tag orientation and the best one or more of the plurality of results.

The application provides an electromagnetic suppression maximum distance prediction method, device, equipment and storage medium, and particularly relates to the technical field of electromagnetic spectrum management and control. The method comprises the following steps: acquiring electromagnetic management and control equipment spectrum characteristic parameters and suppressed target radio station spectrum characteristic parameters; calculating minimum harmful interference power, a frequency suppression factor and interference equivalent radiation power; calculating according to the electromagnetic management and control equipment spectrum characteristic parameters, the suppressed target radio station spectrum characteristic parameters, the frequency suppression factor, the minimum harmful interference power and the interference equivalent radiation power; and considering the earth great circle line-of-sight blocking factor to predict the electromagnetic suppression maximum distance. The application solves the problems that the existing electromagnetic management and control situation has a single influencing factor and low universality and low operation efficiency caused by field strength vector operation in the maximum distance prediction method, thereby improving the practicability of displaying the maximum management and control region of the electromagnetic management and control equipment in the electromagnetic management and control situation presentation, and improving the efficiency and accuracy of the electromagnetic management and control.

The application discloses a partial discharge detection method and device and a nonvolatile storage medium. The method comprises the following steps: based on a plurality of preset sensors, absolute field strength data and electromagnetic wave space-time data inside a cavity of a target device are acquired at a plurality of preset positions inside the cavity of the target device, wherein the plurality of sensors comprise a plurality of Rydberg sensors and a plurality of ultrahigh frequency sensors; the absolute field strength data and the electromagnetic wave space-time data at the same time are integrated to obtain a plurality of joint data frames; and based on the joint data frames, a partial discharge detection result of the target device is determined, wherein the partial discharge detection result comprises a discharge type, a defect position and an insulation state. The application solves the technical problem that the traditional technology is difficult to realize high-precision, multi-parameter and traceable monitoring requirements in a complex electromagnetic environment.

This application provides a method, apparatus, equipment, and medium for generating underground pipeline network lines in substations based on transformer areas. The method includes: acquiring a magnetic field strength signal of the substation area; wherein the magnetic field strength signal characterizes the magnetic field distribution of the underground pipeline network lines after energization; filtering the magnetic field strength signal to obtain a constant magnetic field component; modeling the constant magnetic field component to obtain the direction of the underground pipeline network; wherein the constant magnetic field component is a characteristic magnetic field signal characterizing the spatial location of the underground pipeline network lines; the direction of the underground pipeline network characterizes the extension direction and planar distribution trajectory of the underground pipeline network in space; and performing head-to-tail fitting processing on the direction of the underground pipeline network to obtain the underground pipeline network lines. This method is used to achieve the effect of accurately determining the underground pipeline network lines of substations.

This invention provides a method and system for testing the electromagnetic radiation immunity of components, relating to the field of electromagnetic immunity testing technology. The invention sets a range for the electromagnetic frequency and amplitude of the interference signal, generating multiple particles characterizing the interference signal within this range. Through iterative particle swarm analysis, it rapidly collects highly sensitive sample points that cause functional abnormalities in components during electromagnetic interference testing. By clustering these highly sensitive samples, it locates the electromagnetic interference sensitive range of the target component. Compared to full-band scanning and fixed-point scanning methods for electromagnetic interference testing, this invention enables automated and quantitative extraction of the electromagnetic sensitivity range, reducing subjective bias from manual location and improving analytical consistency and repeatability. Furthermore, by focusing on highly sensitive frequency bands and field strength ranges, it optimizes the test path, reduces redundant scanning points, and significantly improves the efficiency of electromagnetic interference testing.

The invention provides an ultra-low field magnetic resonance imaging integrated circular polarization radio frequency transmit-receive coil, and relates to the ultra-low field magnetic resonance imaging technology, the ultra-low field magnetic resonance imaging integrated circular polarization radio frequency transmit-receive coil comprises a medium substrate, split copper sheet ring structures and split straight copper sheet structures, the medium substrate is a cylindrical structure, the medium substrate is uniformly provided with multiple groups of split copper sheet ring structures, and the split straight copper sheet structures are arranged on the medium substrate. The split straight copper sheet structures are vertically and uniformly arranged on the split copper sheet ring structures, and feed ports are formed in the split copper sheet ring structures and connected with coaxial cables through SMA connectors. According to the invention, the transmitting and receiving of the circularly polarized magnetic field are realized through orthogonal feed and the adjustable element, the circularly polarized magnetic field can obviously improve the received signal strength and realize the effective improvement of the signal-to-noise ratio, the parameterized design is adopted, the flexible adaptation of multiple scenes is supported, and the antenna can be applied to different field strengths by adjusting the parameters of the adjustable capacitor, the adjustable resistor and the like. And the application scene is widened.

The invention discloses a high-voltage direct-current submarine cable insulating layer transient thermoelectric risk time sequence progressive prediction method, and aims to solve the problems that an electric field and temperature of a submarine cable insulating layer in a deep and far sea wind power system are difficult to monitor in real time, and a traditional prediction method is low in efficiency or lacks physical significance. The method comprises the following steps: constructing a transient electromagnetic-thermal multi-physics field coupling model, and generating a time sequence structure data set containing a physical mechanism by taking a wind power historical dynamic load as a boundary condition; establishing a PSO-BP neural network model, and obtaining a high-precision prediction model through data set training; based on a sliding data cellular mechanism, real-time load data are fused to realize time sequence progressive prediction, four-level risk early warning is triggered in combination with field intensity and temperature safety coefficients, and a model is calibrated regularly by using new data. According to the method, the advantages of physical modeling and machine learning are fused, prediction time consumption reaches the second level, efficiency and precision are considered, the defects that a pure data driving model is poor in extrapolation and a common BP neural network is prone to local optimization are overcome, risk advanced perception is achieved, and support is provided for submarine cable operation and maintenance.