65 results about "Electromagnetic propagation" patented technology

The invention provides a satellite image and actually measured RSRP fused ground radio map generation system, and the system comprises a satellite image feature extraction module which is used for converting a high-resolution satellite image of a target region into high-dimensional image features reflecting the ground feature type distribution of the region; the base station physical characteristic input module is used for converting the physical parameters of the communication base station in the target area into characteristic vectors reflecting electromagnetic propagation characteristics; the multi-modal fusion module is used for fusing the high-dimensional image features and the feature vectors to generate joint feature representation; the radio map decoder is used for generating a radio signal power plane distribution diagram of the target area through a decoding network based on the joint feature representation; and the ground RSRP correction module is used for correcting the radio signal power plane distribution diagram output by the radio map decoder so as to output a final radio signal power distribution result. According to the invention, the space-ground collaborative data source fusion is realized to improve the mapping precision.

The invention discloses a macro-micro hybrid simulation method for electrical equipment insulation defect analysis, which comprises the following steps: S1, establishing a gas defect discharge process simulation model, and describing microscopic particle state change and electric field distribution in a gas discharge process through a particle transport equation and a Poisson equation; the method comprises the steps of S1, establishing an electromagnetic propagation process simulation model, and describing the propagation process of an electromagnetic signal generated by gas discharge through a Maxwell equation set, and S3, performing joint simulation on the model, taking equivalent current of gas discharge as an excitation source, simulating propagation of the electromagnetic signal in power equipment through a finite time domain difference method FDTD, and recording a signal value of a receiver. According to the macro-micro hybrid simulation method for analyzing the insulation defects of the power equipment, the insulation defects of the power equipment are accurately analyzed and monitored, important support is provided for state monitoring and maintenance of the power equipment, and digital transformation of the monitoring technology of the power equipment is promoted.

The invention relates to the technical field of radio navigation and countering, and particularly discloses an unmanned aerial vehicle interference system and device based on phased array radar direction finding. The system comprises a phased array radar direction finding module, an environment electromagnetic propagation characteristic modeling module, an interference beam dynamic planning module and a digital beam forming interference module. Through constructing a three-dimensional electromagnetic propagation model and based on propagation loss and a multipath effect predicted by the model, a beamforming weight used for pre-compensating environmental influence is optimized and calculated, and finally an interference antenna array is driven to radiate an intelligent beam subjected to environmental pre-compensation, so that high-intensity interference is formed at an actual physical position of a target unmanned aerial vehicle, and the target unmanned aerial vehicle is subjected to environmental pre-compensation. Direction finding errors are overcome, and interference efficiency and electromagnetic compatibility are improved.

The invention belongs to the technical field of radio wave propagation, particularly discloses a complex path ASF prediction method based on parameter optimization three-dimensional FDTD, and aims to solve the problem of ASF prediction errors caused by neglecting a transverse diffraction effect in a two-dimensional method and the problem of poor precision caused by accumulated phase errors when a traditional three-dimensional FDTD method is applied to large-area ASF prediction. By means of three-dimensional terrain modeling, the electromagnetic propagation characteristics of the complex irregular terrain are accurately presented, and therefore the accuracy of the ASF prediction result of the complex path is remarkably improved. In addition, according to the complex path ASF prediction method based on parameter optimization three-dimensional FDTD, dispersion optimization parameters are introduced, phase accumulation errors are reduced, and therefore the calculation efficiency is improved while the precision is guaranteed. The method can provide an efficient solution for ASF prediction in a large-scale complex terrain scene, and is more suitable for popularization and application in engineering.

A system for inverse scattering image reconstruction using implicit neural representations (INR) is provided. The system comprises a transmitter control module, a receiver acquisition module, a random spatial sampling module, a permittivity representation module implemented using a first multilayer perceptron (MLP), an induced current representation module implemented using a second MLP, a forward simulation module, a loss computation module, and an optimization module. The system is configured to emit electromagnetic signal data toward a target object, collect scattered signal data, simulate forward electromagnetic propagation, and iteratively update the MLP parameters using loss feedback. Upon convergence, the system outputs a spatial distribution of relative permittivity values to reconstruct the internal structure of the target object.

The application relates to a full polarization high-gain wide-band conformal antenna, belongs to the technical field of electromagnetic propagation and energy collection, and particularly relates to a full polarization high-gain wide-band conformal antenna and a small-size rectifier circuit. The application conforms to the inner wall of an energy collection box by using an improved structure simple Yagi antenna, expands the working frequency band range of the antenna, is convenient for integration with equipment, and reduces the size of the energy collection device. The application designs an ultra-wide-band and compact structure quadrature coupler which is integrated at the bottom of the device. The quadrature coupler can realize 3db coupling in a wide frequency band range, evenly divides the energy received by each port into two paths, and solves the problem of low efficiency caused by the imbalance of the rectifier link in the prior art. The rectifier is small in size, has a good joint simulation effect, and is convenient for integration. The antenna can work in different radio frequencies and power ranges.

The invention discloses a 5G-based underground coal mine unmanned inspection control method, and relates to the technical field of underground coal mine unmanned inspection, and the method comprises the following steps: constructing a multi-dimensional electromagnetic propagation sensing frame on the moving track of an underground coal mine inspection robot, collecting the instantaneous signal intensity, phase deviation and polarization direction, and generating a time sequence electromagnetic feature sequence; a space energy density mapping mechanism is operated based on a time sequence electromagnetic characteristic sequence, a signal distribution state is converted into a space-time continuous energy field, and sequence abnormal points are corrected through nonlinear interpolation to form an energy distribution pattern. According to the method, dynamic description of underground signal propagation and refined display of the risk situation are achieved through multi-dimensional electromagnetic sensing and energy mapping, an inverse phase wave train is generated by introducing a time domain inversion mirror algorithm to actively compensate extremely uneven signals, a propagation channel is uniform and stable, and operation continuity and safety of an inspection robot are ensured.

The present application relates to the technical field of aviation simulation, in particular to a method and system for chaff simulation and optimal calculation of release quantity based on Rayleigh distribution, equipment and medium, the method provided by the present application mainly comprises comparing the maximum target superposition total RCS value in all chaff jamming bombs with the RCS value of a flying object; if the target superposition total RCS value is less than or equal to the RCS value of the flying object, the result of invalid jamming is output, and a signal for re-launching the chaff jamming bomb is sent until the target superposition total RCS value is greater than the RCS value of the flying object. The projection weight parameters of each surface facing the observation direction are updated in real time in combination with the attitude change of the aircraft. Through the deep binding of the parameter value and the actual dynamic conditions, the chaff cloud RCS calculation, the aircraft target scattering characteristic simulation and other processes are more in line with the real electromagnetic propagation law and the battlefield environment change, the deviation between the simulation result and the actual scene is effectively reduced, and the accuracy and reliability of the chaff jamming effectiveness evaluation are improved.

The application relates to a kind of airborne phased array telemetry antenna simulation methods, from the measured unit level pattern stored in advance, the weighting coefficient of each antenna unit to each signal is loaded in real time, and the weighting coefficient of the whole array is synthesized;The signal of target, interference and multipath is the multi-channel radio frequency analog signal formed by electromagnetic propagation simulation system modulating baseband signal;The multi-channel radio frequency analog signal is collected and filtered by the radio frequency receiving unit of the application.Digitized multi-channel radio frequency signal is calculated by the pattern weighting coefficient in real time, and finally forms multi-target multi-beam output to telemetry baseband.The application realizes the amplitude and phase control of target, multipath and interference based on the measured unit level phased array antenna pattern, and completes the accurate control of the amplitude and phase of each channel signal;Highly restored digital IQ beam well supports equipment training and performance evaluation under complex geographical and electromagnetic environment, and research and verification of airborne telemetry system anti-interference means.

The application discloses a kind of marine low-altitude electromagnetic propagation environment evaluation method and system, it is related to marine electromagnetic environment monitoring and evaluation technical field, the method is constructed standardization dataset by collecting multi-source data, combined with physical-data collaborative constraint is carried out mesoscale waveguide prediction, and small-scale waveguide model is constructed by descending scale, and then cross-scale modeling is realized using space-time adaptive fusion algorithm, finally simulates electromagnetic wave propagation characteristics and carries out multi-dimensional evaluation and visual display;The application realizes the all-around characterization to marine low-altitude electromagnetic wave propagation characteristics by cross-scale accurate modeling and multi-dimensional comprehensive evaluation, can accurately present the constraint enhancement effect and blind area distribution of atmospheric waveguide, provides accurate technical support and data reference for the practical application of marine communication, detection and navigation system, effectively guarantees electromagnetic performance research and system efficiency play under marine environment.

The invention discloses a shipborne marine atmospheric boundary layer refractive index profile detection system and method, and relates to the technical field of marine atmospheric environment monitoring and electromagnetic wave propagation safeguard.The method comprises the steps that sea-air downlink infrared radiation spectrum data and sea surface air temperature, relative humidity and air pressure data are obtained; constructing a background atmosphere profile by using the reanalysis data, and correcting an initial profile bottom layer by using sea surface observation air temperature, relative humidity and air pressure data to form a prior state vector; constructing an inversion cost function including an observation residual term, a background prior term and a sea surface boundary constraint term, and performing inversion to obtain an atmospheric temperature profile and a relative humidity profile; and calculating an atmospheric refractive index profile according to the temperature profile, the relative humidity profile and the air pressure profile. According to the method, the marine atmospheric refractive index profile can be continuously obtained under the shipborne dynamic observation condition, and reliable data support is provided for marine electromagnetic propagation environment analysis and waveguide diagnosis.

The one or more embodiments of the specification disclose a method and system for electromagnetic propagation environment acquisition, an electronic device and a storage medium. The method is used in a computing control center, comprising: in the case of receiving a parameter acquisition signal of an electromagnetic propagation environment, sending a time division switching scanning signal to a switch network, so that the switch network scans an antenna array for receiving an air interface signal through different time slice scans, and the elements of the antenna array in each time slice scan are different; receiving a first channel impulse response located in multiple time slices sent by a signal processing unit, the first channel impulse response being obtained by signal processing of the air interface signal transmitted by the switch network in multiple time slices after the signal processing unit receives the air interface signal; based on a preset parameter acquisition index, jointly processing and analyzing the first channel impulse responses of different time slices to obtain parameters of the electromagnetic propagation environment.

The invention relates to the technical field of satellite navigation terminals, and discloses a Beidou terminal with an environment sensing function. Comprising a Beidou positioning module configured to obtain a Beidou signal corresponding to the Beidou terminal; the multi-mode environment sensing module comprises a meteorological sensing unit and is configured to acquire environment temperature and humidity data in real time; the control module is configured to perform multipath component analysis on a reflection signal corresponding to the Beidou signal to obtain an electromagnetic propagation characteristic; in combination with the environment temperature and humidity data, generating a multi-dimensional environment feature vector containing electromagnetic propagation features and the environment temperature and humidity data; inputting the multi-dimensional environment feature vector into a pre-constructed environment classification model, and generating probability distribution corresponding to at least one environment type in an open airspace, a building shielding domain, a vegetation shielding domain, a mountain or side slope shielding domain, a rainfall interference domain and an accumulated snow reflection domain through multi-layer nonlinear transformation of the environment classification model; and dynamically configuring processing parameters of the Beidou signal according to the probability distribution.

The present application relates to a kind of electromagnetic propagation characteristics characterization and reconstruction method of heterostructure, belong to wireless communication technical field.The method adopts the thought of single layer to multiple layers, first study single layer material propagation characteristics, clear single layer material reflection and transmission ability, in combination with measured inversion material electromagnetic parameter;Then, using single layer material electromagnetic parameter, reconstruct heterostructure model by full-wave simulation, simultaneously construct multiple layer iterative propagation model based on Fresnel theory;Finally, the simulation value of reconstructed structure model propagation characteristics, the theoretical value of multiple layer iterative model and the microwave anechoic chamber measured value are compared, verify the accuracy and effectiveness of structure model and propagation model.The present application can be extended to characterize the electromagnetic propagation characteristics of various flat plate-shaped heterostructure complex structures in full-band range, and lay a theoretical foundation for structure material classification, target perception and environment twin.

The application discloses an electric power distribution cabinet electric leakage detection system and method, belongs to the field of intelligent detection, data processing and safety technology, and through joint optimization of electric field and magnetic field transient signals, distinguishes real electric leakage from interference and avoids false positives. Combined with the event authenticity verification of the temperature field and the vibration field of the distributed optical fiber, the reliability of the electric leakage event is ensured. Using the time domain reversal technology in the electromagnetic propagation model considering the internal metal components of the power distribution cabinet, through the spatial coincidence constraint of the electric field and magnetic field focusing area, the positioning error caused by the multipath effect is overcome, and the accurate positioning of the electric leakage point is realized. Through the physical consistency verification of the electromagnetic positioning result and the cumulative physical field characteristics of the distributed optical fiber, the reliability and accuracy of the electric leakage positioning result are improved.

The invention discloses a phased array radar signal adaptive optimization algorithm based on deep learning, and relates to the technical field of radar signal processing, and the algorithm comprises the following steps: S1, collecting an electromagnetic propagation environment disturbance intensity curve in a detection task, superposing the disturbance intensity curve to an original radar echo point by point, and generating a radar echo set with a disturbance mark; according to the invention, by introducing a polar phase spiral traction structure based on disturbance response characteristics, adaptive return and stable correction of a radar main lobe in a complex propagation environment are realized, and distance errors caused by path jump are significantly reduced; and meanwhile, a dynamic rhythm constraint and traction path guiding mechanism is combined to construct a beam regulation and control framework with interference resistance and continuity, so that stable control from disturbance sensing to direction recovery is realized, and the target recognition precision and the system reliability are improved.

The invention discloses an electromagnetic propagation response prediction method and device of a target object. The specific technical scheme comprises the steps of obtaining geometric structure information, sending equipment position information and receiving equipment position information of the target object and multipath propagation parameters corresponding to the target object; determining structure nodes and structure edges according to key position point information in the geometric structure information and connection relation information among the key position point information; according to the position information of the sending equipment, the position information of the receiving equipment and response information of the structure nodes to the electromagnetic signals, constructing propagation nodes and propagation edges to obtain multipath propagation graph structure data; performing graph convolution processing on the multipath propagation graph structure data to obtain multipath propagation graph geometric features; and performing mapping operation on the geometrical characteristics of the multipath propagation graph to obtain a predicted electromagnetic propagation response corresponding to the target object. Thus, electromagnetic propagation response prediction is performed by using the structural features and the reflection features of the target object, and the accuracy of the prediction result is improved.

The invention provides a low-altitude flexible HMIMO-oriented spatial characteristic evaluation and port configuration method and system, and the method comprises the steps: constructing the array geometry of a flexible HMIMO array, and setting a user position and an electromagnetic propagation environment model; secondly, visibility judgment and gating processing are carried out on the sight distance model; then, the whole array is divided into sub-arrays, and available sub-arrays are screened out; calculating an autocorrelation matrix and quantizing a channel statistical difference distance between any two sub-arrays to generate a spatial non-stationary heat map; meanwhile, the full-aperture space freedom degree is calculated; and finally, obtaining an average achievable port mode number by taking a statistical expectation from a target direction domain, and obtaining a port configuration engineering upper bound by integrating a theoretical degree of freedom and hardware constraints. According to the method, the problems of spatial non-stationary quantization, sub-array availability judgment and port-level realizable mode number determination of the flexible curved surface array under near-field and shielding conditions are solved, and a direct basis is provided for engineering design and resource allocation of flexible HMIMO in low-altitude communication.

The utility model discloses an insulation glove for live working with traceability, including glove body, the one side of glove body is equipped with the mounting groove, the one side fixed mounting of mounting groove has installation structure, and installation structure includes chip mounting carrier, and chip mounting carrier is detachable installation with mounting groove, and the inside plug -in of chip mounting carrier has insulating chip. The utility model discloses, and the insulating chip is radio frequency identification chip, is a kind of non-contact automatic identification technology, and identification and data exchange to target object are realized through radio frequency signal. Its core principle is to utilize the space coupling (electromagnetic induction or electromagnetic propagation) of radio frequency signal, and establish wireless communication between reader and electronic tag, to achieve the purpose of identification, tracking and management object, therefore, when carrying out periodic inspection to insulation glove, only needs to use scanning equipment to scan insulating chip, can detect the data of glove, carries out maintenance replacement.

The invention is suitable for the technical field of electromagnetic simulation calculation, and provides a multi-radiation source space electromagnetic field resolving method based on space structure reconstruction and a terminal. The method comprises the following steps: analyzing a grid model of a three-dimensional electromagnetic propagation scene, and converting the grid model into a triangular surface element set for electromagnetic ray tracking; generating a one-dimensional triangular surface element sequence of the triangular surface element set according to the Morton code of the center vector of each triangular surface element; clustering the triangular surface elements according to the geometric connection relationship among the triangular surface elements, and reconstructing the sequence of the triangular surface elements in each cluster; and constructing a BVH scene tree according to the reconstructed triangular surface element sequence, determining triangular surface elements intersecting with the electromagnetic rays in the grid model according to the BVH scene tree, removing triangular surface elements not intersecting with the electromagnetic rays, and determining a propagation path and electromagnetic field distribution of the electromagnetic rays in the grid model. The method is more in line with electromagnetic propagation direction characteristics, the traversal path is optimized, the traversal efficiency is improved, and the calculation time is shortened.

This invention relates to a carbon / carbon composite material with microwave absorption properties and its preparation method, belonging to the field of microwave absorbing materials technology. The material uses chopped carbon fibers and nanodiamond powder as raw materials, which are uniformly mixed, dried, ground, and then mixed with paraffin wax and pressed into shape. The chopped carbon fibers form a continuous conductive network within the nanodiamond matrix, introducing conductivity loss and polarization relaxation. The nanodiamond enhances dielectric loss through interfacial polarization and increases the electromagnetic propagation path. The synergistic effect of these two materials achieves excellent impedance matching and electromagnetic wave absorption performance. This method is simple, requires no high-temperature sintering, exhibits good microwave absorption characteristics in the X-band, and is suitable for the preparation of microwave absorbing materials.

The invention discloses a medium wave navigation simulation method based on Hilbert change analog signals, and relates to the field of radio navigation, the method comprises the following steps: S1, setting working signal parameters, and initializing the orientation of a radio compass; s2, the electromagnetic propagation model calculates signal amplitude and phase information received by the omnidirectional antenna and the loop antenna under the current aircraft attitude; s3, carrying out carrier wave reconstruction, and generating an annular modulation signal; s4, superposing the signals; s5, calculating envelope modulation depth, and judging whether the direction of the current loop antenna is the real azimuth angle of the navigation station according to whether the modulation depth approaches zero; s6, if yes, outputting an azimuth angle; and if not, adjusting the pointing angle of the loop antenna, and repeating the steps S2 to S5. According to the method, the fundamental process of direction finding logic is reconstructed from the phase level, so that the simulation system can still keep stable direction finding performance in a complex multi-path environment, and the engineering practicability and environmental adaptability of the method are enhanced.

A method for estimating resistivity and dielectric constant values of a multi-layer subterranean formation acquiring electromagnetic propagation measurements of the subterranean formation and processing the measurements via inversion to compute the resistivity and dielectric constant values. A one-dimensional formation model is utilized including a plurality of formation layers in which each of the formation layers includes a resistivity value and a dielectric constant value.

The invention relates to the technical field of aviation simulation, in particular to a chaff simulation and release number optimal calculation method and system based on Rayleigh distribution.The method mainly comprises the steps that the maximum target superposition total RCS value in all chaff jamming bombs is selected and compared with a flyer RCS value; and if the target superposition total RCS value is less than or equal to the RCS value of the flyer, outputting a result of ineffective interference, sending a signal of re-launching the chaff jamming bomb, and stopping sending until the target superposition total RCS value is greater than the RCS value of the flyer. And the projection weight parameter of each face in the observation direction is updated in real time in combination with the aircraft attitude change. Through deep binding of the parameter values and actual combat dynamic conditions, chaff cloud RCS calculation, aircraft target scattering characteristic simulation and other processes are more fit with a real electromagnetic propagation rule and battlefield environment changes, the deviation between a simulation result and an actual scene is effectively reduced, and then the accuracy and reliability of chaff interference effectiveness evaluation are improved.

The application discloses an underground disease intelligent identification method based on multi-physical field feature fusion. The method uses multi-source information such as ground penetrating radar B-scan data, dielectric constant distribution and conductivity distribution, extracts time domain, frequency domain and medium parameter features through a learnable wavelet transform and a multi-network structure, realizes cross-domain feature alignment and importance weighting in an adaptive fusion module, and forms a comprehensive underground target representation. Via a detection network, the positioning and classification of diseases such as cavities, voids, loose and leakage are output. The model is trained by using a joint loss containing classification, position regression, frequency domain consistency and electromagnetic propagation constraints. The method can effectively improve the accuracy and physical credibility of underground disease identification.

The application relates to the field of radio navigation and countermeasure technology, and particularly discloses an unmanned aerial vehicle interference system and device based on phased array radar direction finding. The system comprises a phased array radar direction finding module, an environmental electromagnetic propagation characteristic modeling module, an interference beam dynamic programming module and a digital beam forming interference module. By constructing a three-dimensional electromagnetic propagation model and based on the model predicted propagation loss and multipath effect, the beam forming weight for pre-compensating the environmental influence is optimized and calculated, and finally the interference antenna array radiates the environment pre-compensated 'intelligent beam', so that high-intensity interference is formed at the actual physical position of the target unmanned aerial vehicle, the direction finding error is overcome, and the interference efficiency and electromagnetic compatibility are improved.

The invention belongs to the technical field of wireless communication and positioning, and particularly relates to a communication and inductance integrated physical environment reconstruction method. Electromagnetic wave propagation characteristics are used as information carriers, and multi-dimensional information such as environmental physical parameters is captured in real time through a multi-mode sensing means; key environment features are extracted through a multi-source information fusion algorithm, and a parameterized digital twinborn model is constructed; through electromagnetic wave propagation characteristic calculation, evaluation and adjustment, an optimized ultra-fast electric field calculation method is adopted, an environment-channel association database is combined, electromagnetic propagation behaviors are deduced in real time in a reconstruction scene, and path parameters are output; a sensing-prediction-behavior closed-loop autonomous system is formed, a prediction result is converted into an optimization strategy, sensing and prediction parameters are reversely adjusted, and global and local two-stage closed-loop feedback is achieved. According to the invention, through OFDM waveform multiplexing, multi-mode perception fusion and carrier phase ranging, the problems of large ranging error, large channel prediction deviation and high deployment cost are solved.

The application belongs to the technical field of radio wave propagation, and specifically discloses a complex path ASF prediction method based on parameter optimization three-dimensional FDTD, which is aimed at the problem of ASF prediction error caused by the neglect of the lateral diffraction effect in the two-dimensional method, and the problem of poor precision caused by the cumulative phase error when the traditional three-dimensional FDTD method is applied to large-area ASF prediction, and the electromagnetic propagation characteristics of complex irregular terrain are accurately presented by means of three-dimensional terrain modeling, so as to significantly improve the accuracy of the complex path ASF prediction result. In addition, the complex path ASF prediction method based on parameter optimization three-dimensional FDTD introduced by the application also reduces the phase cumulative error by introducing dispersion optimization parameters, so as to improve the calculation efficiency while ensuring the precision. The method of the application can provide an efficient solution for ASF prediction in a large-scale complex terrain scene, and is more suitable for popularization and application in engineering.

This invention relates to the field of wireless communication technology and discloses a method for optimizing 5G signal coverage in wind farms. The method includes: acquiring real-time data on the rotation angle and speed of the blades in the wind turbine generator, and generating a wind turbine operation feature set based on the mapping relationship between the wind turbine's motion trajectory and signal attenuation in the real-time data after time alignment; fusing the network state feature set and the wind turbine operation feature set to obtain a digital twin model of the wind farm under electromagnetic propagation; analyzing the spatiotemporal distribution characteristics of the wind farm based on the digital twin model to obtain the coverage blind zone prediction result; adjusting the beam pointing angle and beamwidth in the wind farm according to the coverage blind zone prediction result to obtain phase compensation parameters; injecting the periodic characteristics of the wind turbine's motion trajectory into the phase compensation parameters to obtain an anti-obstruction beam configuration command; and sending the anti-obstruction beam configuration command to the 5G base station. This invention can improve the effect of 5G signal coverage optimization in wind farms.

This invention provides a deployment method for mobile electromagnetic spectrum monitoring equipment integrating multi-physics sensing, relating to the field of electromagnetic spectrum monitoring technology. The method includes: performing electromagnetic propagation modeling with multi-physics coupling; performing Pareto front screening to obtain H global candidate solutions; S1: performing diversity-enhanced global exploration and outputting a set of diverse potential solutions; S2: performing constraint-aware local optimization and outputting a set of compliant physical field deployment schemes; iteratively executing S1 to S2, performing two-layer physical field collaborative iterative optimization until convergence conditions are met, and outputting a multi-physics constrained deployment coordinate set; performing robustness verification, outputting an anti-interference optimized deployment scheme, and deploying the monitoring network. This solves the technical problem that existing spectrum monitoring technologies mostly rely on fixed monitoring point deployments, where the monitoring range of these devices is statically set, lacking dynamic adaptability, resulting in incomplete signal coverage and ineffective monitoring of electromagnetic interference sources.