52 results about "Interference distribution" patented technology

The invention discloses a weld quality intelligent diagnosis system based on deep learning, and relates to the technical field of welding quality detection, and the weld quality intelligent diagnosis system comprises an image quality evaluation module, a feature alignment module, a deviation detection module, a path reconstruction module, a prior enhancement module and a defect identification module, identifying an area of which the signal-to-noise ratio is lower than a preset threshold value, and constructing a noise interference distribution diagram; and the feature alignment module executes a deformable convolution feature alignment operation with a confidence factor adjustment mechanism based on the noise interference distribution diagram to generate an initial space mapping result. Through mechanisms such as image quality perception, robust alignment, deviation detection, self-adaptive reconstruction and prior enhancement, a closed-loop weld joint intelligent diagnosis process is constructed, false alignment errors are effectively inhibited, the multi-modal fusion stability and the defect recognition precision are improved, and the reliability and the intelligent level of the system under complex working conditions are enhanced.

The invention relates to the technical field of information, and mainly aims to guarantee the communication continuity and data integrity of villages in remote mountainous areas. The invention provides a multidirectional communication data forwarding method and system, and the method comprises the steps: obtaining terrain elevation data and mountain surface reflection characteristics, constructing a three-dimensional terrain simulation environment, calculating an initial visible range between communication nodes, and obtaining a preliminary signal propagation interference distribution diagram; obtaining signal time difference data of each path in the preliminary forwarding path scheme, and generating an optimized forwarding path set; monitoring the distribution change of communication nodes of the forwarding path set in real time, continuously monitoring the change trend of signal propagation interference, determining signal loss rate data in a path execution process, and generating a stable communication transmission channel; according to a stable communication transmission channel, a signal time difference change trend in a path switching process is analyzed, and a switching time interval, a signal strength threshold and a node load balancing coefficient of path switching are determined.

The invention relates to a super-surface array multi-user interference suppression method based on deep learning, and the method comprises the steps: obtaining the initial channel observation information of an environment where a super-surface array is located, and obtaining a complex channel gain matrix between a transmitting end and a plurality of receiving ends; based on initial channel observation information and a historical time sequence channel sample, inputting the initial channel observation information and the historical time sequence channel sample into an interference mapping network constructed based on a Transform structure, and predicting to obtain an inter-user interference distribution diagram at the next moment; according to the inter-user interference distribution diagram and the reflection coefficients of the metasurface units, a joint optimization objective function construction strategy network is constructed, a current channel state vector serves as input, the reflection phase of each metasurface unit is output, and a reflection coefficient moment used for minimizing an objective function is generated; feeding back indexes according to the system performance after the deployment of the reflection coefficient matrix; and dynamically configuring the metasurface unit based on the reflection coefficient matrix. According to the invention, the multi-user interference suppression effect of the metasurface array can be improved.

The invention discloses a logistics supply chain dynamic management method based on the Internet of Things, and relates to the technical field of logistics management, and the method comprises the following steps: constructing a radio frequency interference space fingerprint database, and recognizing an interference region and generating a radio frequency interference distribution map through collecting the emission frequencies, signal intensities and spatial distributions of a plurality of radio frequency identification read-write devices. According to the method, interference hotspots are accurately identified by constructing a radio frequency interference space fingerprint database and a distribution map, and signal conflicts and response failures are avoided in combination with dynamic tag gain and time sequence management. And the communication stability is monitored in real time, local adjustment and self-checking are implemented, and rapid abnormal response and self-repair are realized. Equipment deployment and transmitting power are optimized, interference blind areas are dynamically eliminated, identification stability and data accuracy are improved, logistics errors and risks are reduced, transparency and response capability of a supply chain are enhanced, intelligent and reliable logistics management is promoted, and anti-interference capability and overall operation efficiency of the system are improved.

The invention discloses a multi-modal environment perception enhancement method and system in a complex environment. The method comprises the following steps: acquiring multi-modal environment perception data, illumination monitoring data and target demand data, performing boundary recognition on the environment perception data to extract a perception critical point, extracting environment interference distribution from the illumination data, and performing intensity coupling to generate a perception basic field; recognizing sensing bottleneck points and generating an equivalent interference network, and extracting sensing characteristic parameters to construct a sensing response path diagram; primary and secondary channels are extracted through sensing signal shunt analysis, an optimal fusion point is identified, and a cooperative enhancement matrix is generated; recognizing a breakthrough sensing interval by the reconstructed sensing graph and generating a sensing recombination sequence; determining a sensing intersection time period to obtain a sensing compression factor to construct a sensing control instruction set; and an optimal suppression path is identified through fluctuation suppression analysis, fluctuation correction is performed on the perception recombination sequence to generate an environment perception enhancement instruction, and perception performance optimization of the unmanned aerial vehicle in a complex environment is realized.

The invention discloses a placenta implantation analysis method based on an ultrasonic image, particularly relates to the technical field of medical image analysis, and is used for solving the problem that the placenta implantation condition is difficult to accurately diagnose due to artifact interference caused by complex reflection of an existing placenta area and adjacent blood vessels. The method comprises the following steps: acquiring ultrasonic radio frequency data, generating a two-dimensional gray scale image and a Doppler blood flow image, constructing a dynamic interference distribution diagram, extracting artifact time sequence characteristics, realizing frequency domain separation of an artifact region and generation of a multi-reflection interference pixel set in combination with wavelet transform, and identifying a real blood flow signal through an adaptive threshold algorithm. According to the method, artifacts and real signals are fused to generate an artifact-removed image, morphological processing based on structural elements is carried out on the artifact-removed image, continuous boundary information of the placenta and the uterine wall is extracted, suspicious blood vessel invasion paths are marked in a partitioned mode, and the accuracy of image analysis is improved.

The invention relates to the technical field of electrical variable measurement, solves the technical problems that in the prior art, path planning is lack of dynamics, mechanical wear is caused by frequent acceleration and deceleration of a probe, and key features are easy to omit in a complex multi-path environment, and particularly relates to a method and system for coping with an antenna performance test and a storage medium. The method comprises the steps of collecting target test frequency point data and standard signal modulation data of a target antenna, and generating synchronous excitation signal data through multi-dimensional signal processing and synchronous adjustment. The sampling efficiency and the data quality are remarkably improved through multi-stage collaborative optimization, a sampling domain is primarily selected in combination with a theoretical directional diagram and interference distribution, and the synchronous excitation signal data are generated. The method has the advantages that invalid area measurement is avoided, learning is reinforced to dynamically plan a path to reduce mechanical loss, redundancy is reduced by refining point locations, data independence and coverage are ensured by weighted evaluation, adaptability in a dynamic channel environment is higher, and the method is particularly suitable for millimeter wave and other high-dimensional antenna test scenes.

The invention relates to the technical field of computer vision and industrial equipment fault diagnosis, in particular to a fault image diagnosis system for a remote controller of a bolter miner driven by a CMC chip. Comprising a data sensing module for synchronously acquiring a CMC chip internal logic state vector and a real-time observation image, and preprocessing to obtain target visual data; the generative reconstruction module maps the logic state vector to a high-dimensional space to generate an ideal feature map; the visual analysis module is used for extracting an observation feature map through a convolutional neural network, generating an interference distribution mask based on frequency domain texture statistics, and identifying an unstructured environmental noise region; the difference analysis module is used for calculating a semantic residual image by combining the ideal feature map, the observation feature map and the interference distribution mask, and generating an image difference analysis result; according to the method, ideal features are generated by using the internal logic state vector of the CMC, and the residual calculation of the coal dust noise area is shielded by the interference mask, so that the false alarm caused by the environmental noise is effectively eliminated, and the closed-loop verification that what you see is what you control is realized.

The invention discloses an anti-collision method and system based on a multi-band RFID tag, and the method comprises the following steps: calculating an interference distribution characteristic in a target region according to a pre-collected tag parameter; according to the interference distribution characteristics, obtaining an optimal candidate frequency band combination through a frequency band selection algorithm; determining a dynamic adjustment parameter of frequency band allocation according to the optimal candidate frequency band combination; and configuring an RFID tag anti-collision scheme according to the dynamic adjustment parameters. According to the technical scheme, interference analysis, frequency band selection and dynamic adjustment can be automatically processed by a system background, a complete closed loop from original data acquisition to final scheme configuration is formed, and efficient and stable operation of tag frequency band identification in a high-density tag environment is ensured.

The invention relates to the technical field of logistics distribution. According to the urban and rural logistics unmanned distribution system provided by the invention, self-adaptive resource allocation processing is carried out based on spatial-temporal characteristics of user orders, and a dynamic distribution task is generated; performing multi-modal environment sensing processing through a heterogeneous sensor network to generate a fusion sensing data set; executing cross-scene robust OCR analysis processing, and generating a verifiable structured delivery address; performing dynamic path optimization processing to generate an anti-interference distribution path; performing multi-intention cooperative response processing based on the dialect voice instruction to generate a system control instruction set; and performing autonomous decision delivery processing based on the anti-interference delivery path and the system control instruction set to complete logistics closed-loop control so as to achieve the technical effects of improving the single address identification accuracy under a complex scene, enhancing the dynamic obstacle response capability, reducing the re-planning delay and improving the dialect instruction and logistics state collaboration.

The invention provides a panel lamp light spot uniformity detection method and system and electronic equipment, and the method comprises the steps: analyzing the non-uniform characteristics of brightness gradient distribution according to the intensity and range information of a light spot region, carrying out the image processing of a projection image region, carrying out the quantitative evaluation of the brightness uniformity of a screen, and determining the specific region and degree data of the non-uniform brightness; if the dynamic influence range of the light interference exceeds a preset threshold value, meeting room layout adjustment and equipment position change are determined according to a light interference distribution diagram and equipment configuration parameters, the adjusted light distribution mode change is identified, and the detection priority is determined; according to the detection priority and the brightness deviation index, a brightness compensation method is adopted to carry out local correction on the specific area with the uneven brightness, and corrected brightness distribution data are obtained; and identifying the image definition index and the color rendition degree index after the brightness distribution is corrected, obtaining an area coverage proportion for clearly presenting the information, and judging whether the projection display effect reaches a preset definition standard value or not.

The invention relates to the technical field of communication technology, in particular to a downlink device of a 5G millimeter wave base station and a communication method thereof, comprising the following steps: step 1, determining the same frequency interference degree among cells based on the subcarrier interference distribution condition, and generating a corresponding power distribution regulation strategy; step 2, adjusting the power of a millimeter wave base station transmitting signal according to the power distribution regulation and control strategy so as to reduce co-channel interference between cells; step 3, performing statistics on service requirements of user equipment, calculating resource block allocation proportions required for meeting different transmission delays, and dynamically adjusting power by monitoring subcarrier interference to reduce co-channel interference between cells; resource blocks are accurately scheduled according to user service requirements, and transmission delay is balanced. Meanwhile, by means of adaptive learning, exception handling and user experience management technologies, the overall performance of the base station is cooperatively improved, the communication efficiency and reliability of the 5G network are guaranteed, and the user experience is optimized.

The invention relates to the technical field of sensor network chips, and discloses a gas safety monitoring method and system based on multi-sensor fusion, and the method comprises the steps: obtaining mixed signal data, carrying out the decomposition and recognition of the mixed signal data, extracting interference components, and carrying out the filtering, and obtaining a preliminary filtering signal; executing time-frequency analysis to construct a two-dimensional time-frequency characteristic spectrum, identifying an interference area and evaluating interference intensity, and filtering to obtain a pure intermediate signal; constructing a multi-dimensional frequency feature set based on the signal, extracting an abnormal feature subset, and completing equipment mapping and clustering to obtain a marked component set; obtaining a time domain fragment, carrying out residual analysis to generate an interference distribution map, and extracting abnormal feature scores to form a risk score sequence; smoothing the sequence, constructing trend features and grading risk levels; and finally, mapping the alarm signal, carrying out coding verification and transmission, and outputting a final early warning. According to the method, accurate extraction and graded early warning of gas leakage signals in a complex interference environment can be realized.

A data transmission method and a communication apparatus. In a scenario in which communication symbols are used for performing sensing, for a plurality of different time-domain resource units, data carried on communication symbols used for performing sensing in each time-domain resource unit can be repeated in a time domain, and the manners in which data carried on communication symbols used for performing sensing in different time-domain resource units is repeated in the time domain are different. In other words, different communication data repetition manners are configured in different time-domain resource units, and said pieces of communication data (communication signals) are simultaneously used for performing sensing. In this way, interference influences (interference distributions) generated by other devices (e.g., other base stations) in different time-domain resource units are different, that is, different time-domain resource units correspond to different interference distributions, such that the interference influences of the other devices on the present communication device in networking can be effectively reduced, thereby improving the joint sensing performance of a plurality of time-domain resource units.

The invention discloses a region-centered unmanned aerial vehicle coverage rate analysis method. The method comprises the following steps: constructing a region-centered unmanned aerial vehicle cooperative transmission model; fractional power control is carried out on the service unmanned aerial vehicle and the interference unmanned aerial vehicle; calculating the signal-to-interference ratio of the typical user based on the transmitting power of the service unmanned aerial vehicle and the interference unmanned aerial vehicle; based on the stochastic geometry theory, the coverage probability of typical users is obtained through service distance distribution, signal power distribution and interference distribution in combination with a Cauchy-Schwarz inequality and Gamma distribution approximation; the unmanned aerial vehicle density, the power control coefficient, the path loss index and the Nakagami fading parameter are set, the influence of the number of different service unmanned aerial vehicles, the power control coefficient and the channel condition on the coverage probability is analyzed, and simulation verification is carried out. According to the method, the technical problem of how to suppress the network interference of the unmanned aerial vehicle through power control in a complex interference scene is solved, and the network coverage rate of the unmanned aerial vehicle is calculated.

The invention discloses a network optimization method, system and device, equipment, a storage medium and a program product. The method comprises the following steps: acquiring an environment signal of a network coverage area; wherein the environment signal is collected by the detection node and the sensing unit in real time; constructing an interference distribution matrix based on the environment signal; inputting the interference distribution matrix into a preset regulation and control algorithm, and calculating a real-time regulation and control parameter of each modulatable metasurface unit; according to the real-time regulation and control parameters, generating a first regulation and control instruction for the corresponding modulatable metasurface unit; and issuing the first regulation and control instruction to the corresponding modulatable metasurface unit, so that the modulatable metasurface unit adjusts the signal transmission characteristic based on the first regulation and control instruction. According to the embodiment of the invention, the signal interference can be perceived in real time, the metasurface regulation and control are more accurate, and the local decision-making efficiency is improved.

The present invention discloses a dynamic management method for a logistics supply chain based on the Internet of Things, which relates to the field of logistics management technology and includes the following steps: constructing a radio frequency interference spatial fingerprint library, identifying interference areas and generating a radio frequency interference distribution map by collecting the transmission frequency, signal strength and spatial distribution of multiple radio frequency identification reading and writing devices. The present invention accurately identifies interference hotspots by constructing a radio frequency interference spatial fingerprint library and a distribution map, and combines dynamic tag gain and timing management to avoid signal conflicts and response failures. Real-time monitoring of communication stability and implementation of local adjustment and self-checking can achieve rapid abnormal response and self-repair. Optimize equipment deployment and transmission power, dynamically eliminate interference blind spots, improve identification stability and data accuracy, reduce logistics errors and risks, enhance supply chain transparency and responsiveness, promote intelligent and reliable logistics management, and improve the system's anti-interference ability and overall operational efficiency.

The application provides a multi-hole VCSL chip, a VCSL packaging structure and a preparation method thereof. A plurality of laser holes are formed in a single VCSL chip, and the hole spacing is large, so that the formed light beams can be more uniformly irradiated on a target object or surface, and a single VCSL chip can replace a plurality of conventional VCSL chips. Since normal power is adopted and the light beams emitted by the laser holes do not interfere with each other, the light beams are uniformly distributed, and the "red storm" phenomenon caused by the use of high-power VCSL chips in the conventional mode and the "burning screen" problem that may occur after long-term use can be effectively avoided. By controlling the number and arrangement mode of the laser holes, the packaging structure of the multi-hole VCSL chip has the same size as the conventional single VCSL packaging structure, and can achieve similar detection effects as the four VCSL packaging structures in the conventional mode. Compared with the conventional four-VCSEL structure, the size is reduced by 75%, the occupied space is significantly reduced, and the product miniaturization is facilitated.

This invention discloses a robust beamforming method based on interference plus noise covariance matrix reconstruction. The method includes: calculating the DOA (Directivity of Analysis) by using a priori known reference sequence of the desired signal and the received signal to calculate the cross-correlation vector, effectively suppressing unrelated interference and noise; selecting the main lobe sector boundary containing the desired signal and numerically integrating the Capon spatial power spectrum of the received signal within the spatial angle interval where pure interference and noise are located to reconstruct a pure interference plus noise covariance matrix, eliminating the influence of the desired signal component; and calculating the optimal weighting vector based on the cross-correlation vector and the reconstructed interference plus noise covariance matrix. This method can sense the spatial interference distribution and form deeper nulls in the interference direction, significantly improving the output signal-to-interference-plus-noise ratio and beamforming robustness of the array system.

The invention relates to the technical field of electrical testing, in particular to a forklift state monitoring method based on motor data in a strong interference environment, and the method comprises the steps: obtaining stator current and voltage signals of a forklift driving motor, recognizing waveform abrupt change, determining an interference section, calling a counter electromotive force signal to analyze flux linkage fluctuation, marking an unsynchronized time period, and generating flux linkage disturbance distribution. And monitoring controller output, comparing voltage and current wave crests to judge signal offset, monitoring torque power, analyzing power fluctuation division hierarchy, generating power interference distribution, joint power hierarchy, flux linkage disturbance and signal offset, judging stability, fluctuation or abnormity according to interference concentration and offset consistency, and generating a forklift operation monitoring result. According to the invention, through correlation analysis of current, voltage and counter electromotive force signal differences, a multi-layer coupling determination mechanism is constructed, synchronous identification tracking of signal abrupt change and energy disturbance is realized, transient interference and continuous offset are distinguished by using joint features, an abnormal trend is determined, and dynamic identification and evaluation reliability is enhanced.

The present application relates to the technical field of electromagnetic analysis, and discloses a ship electromagnetic environment modeling method, device and equipment and a storage medium, which comprises the following steps: performing topology structure analysis on a ship space, identifying the positions of interference sources and to-be-protected equipment, and constructing a ship electromagnetic interference prediction model; performing electromagnetic interference distribution analysis on the ship to obtain interference distribution information; calculating the total interference intensity of each measurement point based on the interference distribution information; obtaining the actual measured interference intensity of each measurement point, and comparing and verifying the total interference intensity to obtain the verification result of each measurement point; if the verification results of all measurement points are passed, iteratively optimizing the ship electromagnetic interference prediction model based on the difference between the total interference intensity of each measurement point and a preset electromagnetic interference tolerance limit value to obtain an optimized model; the present application improves the description ability of the model for the complex electromagnetic environment of the ship, and thus improves the accuracy of the ship electromagnetic compatibility design.

The invention relates to the field of medical image processing, and discloses a medical image virtual simulation method and system based on digital twinning. The method comprises the following steps: acquiring original physiological data and carrying out sliding window time sequence sampling to obtain a preliminary physiological movement sequence; extracting position deviation characteristics from the preliminary physiological movement sequence to obtain a dynamic interference distribution matrix; abnormal fluctuation in the dynamic interference distribution matrix is detected, nonlinear supplementary interference samples are generated and fused, and an enhanced interference data field is obtained; performing superposition operation on standard nuclear magnetic imaging data by using the enhanced interference data field to obtain a preliminary simulation image sequence; extracting time dynamic features of the preliminary simulation image sequence and a real clinical artifact image, and comparing the time dynamic features to generate a feature difference chart; and according to the feature difference image, calculating an adaptive fusion weight and performing residual feature completion to obtain a final medical image simulation result. According to the method, high-fidelity reproduction and closed-loop optimization of the dynamic artifacts of the medical image are realized.

The application discloses a radar human behavior recognition method based on multi-domain feature fusion, and is applied to the problem that the existing human behavior recognition method based on a radar sensor and a deep learning technology only adopts the features of one domain or only adopts one time-frequency analysis method in a time-frequency domain, thereby causing insufficient expression of human behavior features; three time-frequency analysis methods with different time-frequency resolutions, namely, a short-time Fourier transform, an adaptive optimal kernel time-frequency representation method and a Hann kernel reduction cross-term interference distribution, are selected; three types of frequency spectrum diagrams are obtained; then, the three types of time-frequency spectrum diagrams are combined and used by using a SE Net and a 3DCNN network in the time-frequency domain, so that human behavior features are more fully expressed; in a distance domain, a key feature is extracted by using the SE Net; and the features of two domains are combined, the mutual relationship is found, and the recognition accuracy of human behaviors is effectively improved.

The application discloses a multi-antenna receiving beam forming method of GMSK frequency hopping signals, which comprises the following steps: based on a known GMSK training sequence and by an approximate maximum posterior probability method, accurately estimating a real direction of an expected signal, so as to effectively correct a mismatched direction vector; on this basis, further adopting a covariance matrix reconstruction technology, removing an expected signal component from a sampling covariance matrix, effectively suppressing the expected signal cancellation phenomenon, and being able to perceive a spatial interference distribution and form a relatively accurate null in the interference direction, and significantly improving the output signal-to-interference-and-noise ratio performance of the system.

The invention relates to the technical field of biomedical engineering, and discloses an electromyographic signal simulation display method and system, and the method comprises the steps: carrying out the channel analysis and synchronous verification of a mixed signal sequence, and constructing a shunt signal which retains the time sequence correlation; extracting envelope features of the signals and performing trend fitting correction to generate initial intensity distribution; constructing an interference distribution diagram based on cross-correlation analysis, and determining an intensity correction value by using adaptive filtering and residual analysis; carrying out reverse reconstruction on the signal in combination with a tissue impedance model, and restoring real muscle activity distribution; and finally, mapping the distribution data to a visual model, and generating a muscle activity image through interpolation and sharpening processing. According to the method, the problem of low visual image accuracy in the prior art can be solved.

The application provides an aviation magnetic exploration geological magnetic interference compensation method based on an improved Tolles Lawson equation, and comprises the following steps: obtaining a classical TL equation compensation coefficient; collecting original magnetic field data; pre-processing the original magnetic field data, compensating for platform, earth main magnetic field and daily variation interference, and obtaining in-line residual error; reconstructing an interference distribution map in a task area based on the in-line residual error; solving a geological interference term of the improved TL equation during task execution based on the interference distribution map; and using the improved Tolles Lawson equation instead of the classical Tolles Lawson equation in the compensation process, and completing compensation for the earth main magnetic field, daily variation interference, aircraft platform interference and geological interference in the compensation process. The technical scheme of the application can solve the technical problem that the geological interference signal is highly coincident with the target signal in the prior art, and thus is difficult to remove simply.

The invention relates to the technical field of communication, in particular to a distributed communication method and system for a low-altitude network. The invention discloses a distributed communication system for a low-altitude network. The distributed communication system comprises an observation vector acquisition module, an interference time sequence analysis module, a sub-band distribution module, an interference correction module and a reinforcement learning module. According to the method, an observation time sequence vector including an interference spectrum vector, a target statistical vector and a self-state vector is utilized, modeling is carried out on evolution of an electromagnetic environment and target distribution in a finite time window in combination with a time sequence analysis model, and a predicted interference distribution vector covering all sub-bands is output; the inductance node can actively avoid an interference sub-band to be deteriorated during sub-band power distribution, so that spectrum collision is reduced in a statistical sense, and the spectrum utilization efficiency and the communication reliability are improved; on the other hand, the pre-allocation result is exchanged among the nodes, a neighbor table containing neighbor position information and a sub-band power pre-allocation vector is maintained, and interference correction is carried out on the sub-band allocation network.

The invention relates to a millimeter wave beam forming precise regulation and control method, which relates to the technical field of millimeter wave wireless communication, and comprises the steps of system initialization and parameter configuration, core module initialization completion, node time synchronization and bidirectional identity authentication. Sensing a channel state and an interference environment, collecting channel parameters to identify an interference type, and generating a channel state matrix and an interference distribution map; multi-beam amplitude-phase weights are calculated, and accurate beam forming and rapid switching are completed; the beam forming effect is monitored in real time, and beam parameters are optimized in a dynamic closed-loop mode; and cooperatively scheduling multi-user time-frequency resources to complete data transmission and system state feedback. According to the method, the millimeter wave beam regulation and control precision and the anti-interference capability are greatly improved, the beam switching delay is compressed, the spectrum and beam resource utilization efficiency is optimized, the long-term stability of a communication link is ensured, and the application requirements of multi-scene millimeter wave communication are met.

The invention discloses a near-infrared image correction method and device, equipment and a storage medium. Comprising the following steps: acquiring each near-infrared image in an array test block printing process, and performing anomaly screening and effective image fusion on each near-infrared image to obtain a fused image; performing geometric correction on the fused image to obtain a standard image; and carrying out gray value calculation and curved surface fitting based on the standard image to obtain an intensity correction image, and correcting the near-infrared image according to the correction image. Through anomaly screening, abnormal data can be prevented from interfering correction, geometric deformation caused by camera inclination can be eliminated through correction, and edge invalid areas are eliminated; infrared intensity characteristic data of each test block can be extracted through gray value calculation, and discrete data can be converted into a continuous curved surface reflecting global interference distribution through curved surface fitting; and the near-infrared image is corrected according to the corrected image, so that the problem of non-uniform strength caused by fixed interference is counteracted, the real forming thermal state is restored, and the monitoring reliability of the near-infrared image is improved.

The invention belongs to the field of recognition research of geomagnetic table data, and particularly relates to a high-voltage direct-current interference distribution recognition method of geomagnetic observation data, which comprises the following steps: acquiring a Z component of original geomagnetic observation data, and performing low-pass filtering processing to obtain a preprocessing signal of the original geomagnetic observation data; performing signal square wave detection by using the preprocessed signal to obtain a square wave interference interval set; according to the square wave interference interval set, performing gradual change detection based on second-order polynomial fitting verification to obtain a gradual change interference interval set; obtaining a corresponding residual error according to the slowly-varying interference interval set, and carrying out square wave detection to obtain a composite interval set; and performing seismic wave inspection judgment by using the square wave interference interval set, the slowly varying interference interval set and the composite interval set to obtain a high-voltage DC interference distribution identification result, and identifying three types of interference through distribution cooperative processing, thereby effectively improving the quality and credibility of geomagnetic observation data.