303 results about "Interference elimination" patented technology

The invention discloses a GIS partial discharge intelligent diagnosis system and method based on one-dimensional ultrahigh frequency signal analysis, and relates to the technical field of power electrical equipment intelligent monitoring, and the system comprises a signal collection and preprocessing module which is used for collecting ultrahigh frequency signals of GIS equipment and obtaining preprocessed signal data through a dynamic threshold algorithm; the discharge initial judgment module is used for performing multi-dimensional sequential judgment to eliminate interference discharge data so as to obtain effective discharge signal data; the feature extraction module is used for performing time domain kurtosis and pulse width analysis, frequency domain energy distribution analysis and time-frequency domain wavelet entropy calculation based on the multi-dimensional features of GIS partial discharge, and generating an optimized feature subset; and the type identification module is used for identifying the partial discharge type by using the integrated learning model to obtain a diagnosis result. According to the invention, the problem of unstable recognition accuracy caused by insufficient signal preprocessing, single feature representation and single classification algorithm in the prior art is solved.

The invention relates to a satellite-to-ground network adaptive image semantic communication method based on an NOMA technology, and the method comprises the following steps: S1, building a satellite-to-ground semantic communication frame integrated with the NOMA technology: carrying out the power superposition and serial interference elimination of different user transmission contents through the NOMA technology, a coding and decoding process is optimized through deep joint source channel coding based on hierarchical vision using a shift window; s2, establishing an adaptive semantic communication model: dynamically adjusting coding parameters based on a target bandwidth ratio and a signal-to-noise ratio of a satellite-ground channel; s3, proposing a dynamic weight adjustment algorithm: optimizing model convergence speed and transmission performance tradeoff under different channel conditions; and S4, designing a feature selection module: performing priority ranking on the image features, and selectively transmitting important features according to bandwidth resources. According to the method, the adaptive semantic communication model (ASeC-NOMA) which can be dynamically adjusted according to the target bandwidth ratio and the signal-to-noise ratio is constructed, and a large number of model storage parameters are saved while the transmission performance is ensured.

The invention discloses an unmanned aerial vehicle anti-interference communication link control method based on heterogeneous network convergence, and relates to the technical field of unmanned aerial vehicle anti-interference communication, and the method comprises the steps: S1, interference sensing and network state modeling, S2, intelligent link decision making, S3, spectrum avoidance and resource scheduling, S4, distributed feedback and cooperative anti-interference, and S5, heterogeneous network cooperative relay. S6, resource allocation and energy efficiency optimization; S7, performance evaluation and parameter optimization; and S8, multi-link redundancy backup. According to the invention, through S1, S2 and S7, a sensing, decision-making and optimization closed-loop system is constructed, LSTM interference prediction and three-dimensional network modeling in S1 provide accurate input, a dual deep Q network in S2 realizes low-delay link decision-making, and KPI evaluation and genetic algorithm dynamic parameter adjustment in S7, the signal-to-interference ratio is improved, the anti-interference adaptability is improved compared with a traditional passive response mode, and the method has the advantages that the method is simple and convenient to operate, and the cost is low. The creative breakthrough that interference does not reach strategy precedence is realized; through S3 and S4, an active anti-interference mechanism is formed, and compared with a single avoidance or suppression method, the interference elimination efficiency is improved.

The invention discloses a signal processing method based on deep learning and adaptive filtering fusion. The method comprises the following steps: S1, collecting and preprocessing an original signal; s2, carrying out adaptive filtering; s3, constructing a deep neural network model to perform deep feature extraction on the filtered signal; s4, signal fusion and interference elimination are carried out; S5, a real-time closed-loop feedback mechanism is established, and dynamic parameter adjustment is carried out; s6, performing an end-to-end dynamic optimization process; s7, performing iterative updating and high-confidence sample judgment; and S8, processing a newly collected signal by using the trained adaptive filtering module and the deep neural network model, and generating a reconstructed signal through signal fusion. According to the method, through effective fusion of adaptive filtering and the deep neural network, accurate suppression and high-dimensional feature extraction of a multipath effect, nonlinear noise and transient interference in a complex wireless signal are realized, so that the precision, robustness and real-time performance of signal processing are remarkably improved.

The invention relates to the technical field of learning methods, in particular to an OPGW heterogeneous detection method based on AI interference elimination, which comprises the following steps: acquiring a vibration signal segment, dividing mutation fragments, arranging channel sequence, comparing direction extension, extracting a direction change homing path segment, analyzing an offset trend positioning response area, and extracting fluctuation trend verification interruption. And combining state feature merging numbers, identifying a jump sequence and analyzing a switching relation, and obtaining disturbance boundary features. According to the method, a path chain is constructed through sudden change signal position division and a channel response sequence, a disturbance propagation starting point and an extension direction can be subjected to structured expression, a path segment corresponding to continuous direction change supports limitation of a response interval, a fluctuation trend and direction offset are combined to form segmented reference, and identification of characteristics of boundary evolution along with time is assisted; the hopping sequence in the tail end signal is used for restoring the disturbance boundary and enhancing the trajectory separation and feature retention capability of the multipath interference behavior in the differentiated environment.

The invention discloses an intelligent identification system and method based on time-frequency feature fusion and adaptive classification, and relates to the technical field of power equipment state monitoring. Comprising an ultrahigh frequency signal processing unit, a filter amplification unit, an analog-to-digital conversion unit, a digital signal preprocessing unit, a multi-dimensional feature extraction unit, a discharge phase analysis unit, a classification model optimization unit, an interference elimination unit, a defect type identification and diagnosis unit and a discharge source positioning unit. The ultrahigh frequency signal processing unit is used for collecting and transmitting partial discharge weak electromagnetic signals, and the filtering and amplifying unit is used for filtering, eliminating interference and amplifying signal amplitude. Through the ultrahigh frequency signal processing unit, the filtering and amplifying unit and the analog-to-digital conversion unit, weak electromagnetic signals are accurately collected, interference is efficiently filtered out, the signals are amplified and converted, the accuracy and effectiveness of the detection process are improved, and the misjudgment risk is reduced through pulse segmentation and normalization, multi-dimensional feature extraction and classification model establishment and optimization.

The invention relates to the technical field of satellite transmission service or radio transmission service of a space station or an airborne station, in particular to a narrow-band interference elimination method based on spread spectrum communication applied to satellite transmission service, which comprises the following steps: S1, performing FFT (Fast Fourier Transform) operation on a digital baseband signal, converting the digital baseband signal into a frequency domain signal, determining a judgment threshold according to the background noise power, and judging a component greater than the threshold as an interference signal; s2, based on a sequential return-to-zero algorithm or a sequential pruning algorithm, frequency points with interference signal components in each frequency domain under the AWGN condition are cut off; s3, using windowed FFT operation, and popularizing the application under the AWGN condition in the S2 to the application under the narrowband interference condition; and S4, reducing the frequency domain signal after the interference signal component frequency points are removed into a time domain signal by adopting IFFT (Inverse Fast Fourier Transform) operation. The method has a good application prospect in the fields of manufacturing of space-based satellite systems and other spacecrafts, manufacturing of satellite antennas and other communication system equipment, satellite transmission services and the like.

The invention relates to the technical field of instruments and meters, in particular to an inductively coupled plasma mass spectrometer system for intelligent data processing and report generation. Comprising a sample introduction unit, a plasma excitation and ionization unit, a mass analyzer and detection unit, a vacuum system unit and an intelligent data processing and report generation unit. Efficient ionization is achieved through a bipolar radio frequency switching and AI optimized reaction gas plasma source, the AI optimization module monitors in real time and dynamically adjusts parameters so that the ionization efficiency can be stabilized at 92% + / -2%, and meanwhile a reaction gas control system can optimize plasma conditions to suppress interference ions. And the mass analyzer and the detection unit realize high-precision ion separation by utilizing AI interference correction and a QMS-TOF double analyzer mode, and an interference elimination module can automatically eliminate polyatomic ion interference, so that the ionization efficiency, the analysis precision and the accuracy are improved, the interference is effectively inhibited, and the analysis capability of the system on a complex sample is enhanced.

The invention discloses an AI-based cooperative communication method and system for dynamic spectrum allocation and interference elimination, and the method comprises the following steps: 1, collecting historical data of power equipment, including power line environment data collected by a sensor and power line data collected by a dual-mode communication module; 2, marking the historical data, and inputting the marked historical data into the AI model for training; 3, predicting communication performance through the trained AI model, and dynamically adjusting spectrum allocation according to a prediction result; and step 4, the AI model analyzes interference signal characteristics in a prediction result, and interference is eliminated for different interference types by adopting a matching algorithm. According to the invention, the AI technology is utilized to dynamically optimize the power and frequency spectrum selection of the HPLC and the HRF under the condition of meeting the upper limit of equipment energy consumption and the upper limit of transmission power of the dual-mode communication module, and the interference in a complex power line environment is eliminated, so that the optimal communication performance is ensured.

The invention relates to the technical field of ultrasonic detection, in particular to a concrete quality detection method for building construction, which comprises the following steps: acquiring a transmitting wave and a detection receiving wave, and reconstructing the detection receiving wave divided by using signal intensity to obtain a defect signal segment and an initial reconstruction signal thereof; obtaining a reconstruction reserved weight based on the peak steep characteristic presented in the defect signal segment; adjusting each wave crest in the initial reconstruction signal to obtain a fused reconstruction signal; dividing all fusion reconstruction signals based on signal intensity similar characteristics of the homologous signals to obtain first reflection signals and attenuation reflection signals thereof; and performing attenuation processing on the attenuation reflection signal of the first reflection signal to obtain a concrete quality detection wave. The invention aims to solve the interference caused by multiple reflections of ultrasonic waves in the concrete detection process and achieve the purposes of eliminating the interference and improving the concrete quality detection accuracy.

The invention discloses a double-beam laser interference detection device and a detection method, the double-beam laser interference detection device is used for semiconductor etching and thin film process end point detection, and the double-beam laser interference detection device comprises an imaging unit, a detection unit and a reference unit; the detection unit comprises a first emitting part used for emitting detection light rays, and the detection light rays are focused to the wafer through the imaging unit; the first detector outputs a first reflection signal; the reference unit comprises a second emitting part and is used for emitting reference light to the imaging unit, so that the reference light is focused on the semiconductor equipment window; the second detector outputs a second reflected signal. And in the detection process, performing difference calculation on the first reflection signal and the second reflection signal to obtain a light intensity signal after interference elimination, and calculating the etching depth or the film deposition thickness of the wafer according to the light intensity signal after interference elimination. According to the invention, the problem of insufficient accuracy of detection of the wafer etching depth and the thin film deposition thickness end point caused by factors of vibration of semiconductor equipment and unstable environment can be eliminated.

The invention discloses a wireless passive bolt pre-tightening force monitoring method and system. The method comprises the steps that bolt deformation, temperature and vibration parameters are collected; optimizing the arrangement positions of the sensors based on physical field simulation and working condition characteristics; eliminating interference by using a dynamic decoupling model, and outputting a corrected pre-tightening force value; and monitoring and evaluating the pre-tightening force state of the bolt group in combination with multi-channel sensing, and outputting a monitoring result. According to the invention, the multi-dimensional sensing unit is combined with the dynamic decoupling algorithm, so that the measurement precision under a complex working condition is remarkably improved, and on the basis of a wireless passive communication technology, the arrangement position of each sensor is determined through physical field simulation, so that the risk of a monitoring blind area caused by unreasonable arrangement is avoided. Besides, by fusing multi-dimensional parameters such as strain, temperature and vibration and constructing a decoupling algorithm, the problem of pre-tightening force measurement deviation caused by multi-interference coupling under complex working conditions is solved, and meanwhile, real-time monitoring and abnormal early warning of the bolt group pre-tightening force are realized.

The invention discloses an encrypted signal receiving guide system for an unmanned aerial vehicle. According to the invention, the self-adaptive anti-interference module realizes real-time identification, feature analysis and dynamic suppression of interference signals through a multi-dimensional joint sensing and closed-loop adjustment system. The interference detector is fused with a time-frequency domain depth feature extraction technology, and existence features of complex interference such as frequency hopping and frequency sweeping can be captured in a millisecond-level time window; the interference characteristic analyzer accurately deconstructs a modulation rule and a propagation characteristic of an interference signal based on a nonlinear dynamic modeling and pattern learning algorithm; the self-adaptive filter adopts a multi-modal optimization strategy and combines space-time correlation characteristics of navigation signals, so that the integrity of original signals is reserved to the greatest extent while interference is eliminated. The whole set of mechanism forms a complete anti-interference closed loop from environmental perception to dynamic response, and ensures that the unmanned aerial vehicle can still maintain a stable encrypted communication link and centimeter-level navigation precision in extreme scenes such as strong electromagnetic suppression and dense signal conflicts.

The embodiment of the invention provides a Beidou water vapor inversion method and system based on a buoy platform. The method is applied to the technical field of data processing, and comprises the following steps: receiving a Beidou dual-frequency signal through a direct antenna to obtain original observation data; the multi-path effect and the platform shake are inhibited by combining buoy motion characteristics obtained by the MEMS sensor to obtain pre-processed data; calculating a troposphere delay estimated value; establishing a delay-water vapor conversion model; suppressing short message interference to obtain effective observation data; and inputting the data into a model to calculate the amount of precipitable water and the relative humidity. According to the method, the key technical problems of sea surface multi-path effect suppression, platform shake compensation, marine atmosphere modeling, short message interference elimination and the like are solved, so that reliable water vapor parameter inversion on the buoy platform is realized.

The invention relates to the technical field of wireless communication, in particular to a super-Nyquist signal iterative interference elimination method based on symbol grouping and FEC (Forward Error Correction), which comprises the following steps of: acquiring bit streams, grouping symbols according to odd-even positions and encoding, and respectively generating and superposing odd-even sub-signals to generate FTN (Feeder Transfer Network) signals; performing matched filtering and sequence detection, and extracting soft information of odd and even positions; performing soft decoding on the soft information at the odd positions to generate Nyquist odd group signals; subtracting the odd-numbered group signals from the total signal of the receiving end to obtain even-numbered group feedback signals; performing matched filtering and soft decoding to obtain an even number position judgment bit, and regenerating an even number signal; and extracting an odd feedback signal by subtracting the total signal of the receiving end from the even regeneration signal, generating an odd decision based on Nyquist matched filtering and soft decoding, and performing loop iteration until ISI is completely eliminated. According to the invention, efficient and robust suppression of ISI in the FTN system can be realized, and the method can adapt to the dynamic change of an optical fiber channel.

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 provides an electromagnetic detection system based on a sea-bottom crawler, belonging to the field of geophysical exploration technology, comprising: a survey vessel, a sea-bottom crawler, a transmitting antenna, a receiving node array, a control chip, and a power supply; the survey vessel is connected to the sea-bottom crawler through a traction rope, and the tail of the sea-bottom crawler is provided with a drag cable, on which the transmitting antenna and the receiving node array are mounted, and both the control chip and the power supply are configured in the integrated electronic cabin of the sea-bottom crawler; the power supply provides electrical energy to the sea-bottom crawler, transmitting antenna, receiving node array, and control chip, and the control chip is electrically connected to the transmitting antenna, the receiving node array, and the power system of the sea-bottom crawler; the control chip is configured to have an electromagnetic detection interference compensation module for performing interference elimination and compensation on reflected waves received by the receiving node array. It solves the technical problem of insufficient detection accuracy in existing technologies.

Aspects of this disclosure relate to a cancelling interference at an output of a power amplifier. An interference sensing circuit in a signal path between the power amplifier and an antenna can generate an interfering power signal. An interference cancellation loop can receive the interfering power signal and provide a cancellation signal to a transmit signal path that includes the power amplifier to thereby suppress interference at the output of the power amplifier. In certain embodiments, the interference cancellation loop includes an amplifier and a phase shifter. Related systems and methods are disclosed.

The invention relates to a narrow-band interference filtering method and device based on an HPLC (High Performance Liquid Chromatography) chip, and belongs to the technical field of power line carrier communication. When pulse processing is carried out on a signal, AGC / DAGC processing is paused if a narrowband interference detection starting signal is detected, a narrowband interference detection module calculates a narrowband interference frequency point by using the signal of which the AGC / DAGC processing is paused, and a filter coefficient used by a narrowband interference elimination module is determined based on the narrowband interference frequency point; and the narrowband interference elimination module carries out narrowband interference elimination processing according to the determined filter coefficient. Wherein the AGC / DAGC processed signal is paused when the signal participating in the calculation of the narrowband interference frequency point is subjected to pulse processing, so that signal fluctuation caused by AGC / DAGC processing is avoided, the calculation accuracy of the narrowband interference frequency point is improved, and the narrowband interference filtering effect is ensured.

The invention discloses an equipment distance measurement method, electronic equipment, a storage medium and a product, and relates to the technical field of equipment distance measurement, the disclosed equipment distance measurement method comprises the following steps: sending an ultrasonic signal to slave equipment, and receiving a response signal replied by the slave equipment; performing interference elimination processing on the response signal to obtain a pure response signal; and determining the arrival time of the signal direct path from the pure response signal, and determining the distance between the master device and the slave device according to the arrival time. According to the invention, the distance measurement precision in a multi-device distance measurement scene can be improved.

The invention discloses an optical up-conversion, optical fiber transmission and self-interference elimination integrated device and method. The invention discloses an optical up-conversion, optical fiber transmission and self-interference elimination integrated device which comprises a central station, a transmission medium and a far-end base station. Wherein the central station comprises a first wavelength tunable laser (1), a local oscillator signal generator (2), a second wavelength tunable laser (3), a first double-parallel Mach-Zehnder modulator (4), an electric power divider (5), a second double-parallel Mach-Zehnder modulator (6), a 90-degree polarization rotator (7) and a polarization beam combiner (8). And a transmission medium adopts a single-mode optical fiber (9). The far-end base station comprises an optical power amplifier (10), a polarization beam splitter (11), a first photoelectric detector (12), a second photoelectric detector (13), an electric power amplifier (14), a transmitting antenna (15) and a receiving antenna (16). The invention further provides an optical up-conversion, optical fiber transmission and self-interference elimination method. According to the invention, the influence of the up-conversion transmission signal on the signal received by the far-end base station can be eliminated, the transmission quality of the received signal is improved, and the base station is simplified.

The present invention relates to the field of communication and sensing, and specifically to a communication and sensing integrated device based on a seven-core optical fiber interferometer and an application method therefor. The application method comprises: a first beam splitter splitting, into reference light and signal light, a light source emitted by a narrow linewidth laser; performing modulation by means of a first coherent optical transmitter and a second coherent optical transmitter; amplifying the light by means of a first amplifier and a second amplifier, and then enabling the light to pass through a multi-core optical fiber from a fan-in end, and to output from a fan-out end; performing beam splitting by means of a second beam splitter and a third beam splitter, and performing demodulation by means of a first coherent receiver and a second coherent receiver; and finally, a phase-locked loop performing interference elimination on preliminarily-demodulated reference light and preliminarily-demodulated signal light to obtain finally-demodulated reference light and finally-demodulated signal light. The present invention uses a phase-locked loop to further eliminate disturbance noise of reference light and signal light. Therefore, noise interference is eliminated in continuous low-frequency detection, thereby improving the communication and sensing effect.

The invention discloses a small current grounding system single-phase grounding fault line selection method and system based on wavelet packet decomposition and comprehensive criteria, and belongs to the technical field of power system relay protection and fault diagnosis. Comprising the following steps: signal acquisition and preprocessing: acquiring bus zero-sequence voltage and each outgoing line zero-sequence current signal, and carrying out filtering and normalization preprocessing on the signals to eliminate interference; performing wavelet packet multi-scale decomposition, selecting a wavelet as a primary function, and performing wavelet packet decomposition on the preprocessed zero-sequence current signals of each line to obtain decomposition coefficients of different frequency bands; selecting characteristic frequency bands, calculating signal energy of each frequency band after each line is decomposed, and selecting the frequency band with the maximum signal energy; constructing a comprehensive criterion, wherein the comprehensive criterion comprises a polarity criterion and an amplitude criterion; and fault line discrimination: comparing the polarity criterion of each line with the bus voltage polarity, and finding out the line with opposite polarity and the most significant amplitude, namely the fault line. And the line selection accuracy and reliability under complex conditions are improved.

The invention provides a size detection device for processing a lustring roller, relates to the technical field of size detection of lustring rollers, and aims to solve the problems that an existing device is tedious in distance adjustment, inflexible in base installation and low in detection precision due to lack of matched software. The device comprises a laser transmitter and a laser receiver which are oppositely arranged, a bottom plate of which the top surface is provided with a guide groove, a sliding assembly comprising a driving motor, and a control software system, and comprises a pattern interference elimination module, a data acquisition module, a space adaptive adjustment module, a multi-dimensional parameter fusion calculation module, an error compensation module and a motor control module. The sliding assembly drives the laser transmitter to automatically adjust the distance, and the fixing plate can be stored on the bottom face of the bottom plate to adapt to multiple scenes. And the control software system eliminates pattern interference, calculates the outer diameter / cylindricity / local concave-convex degree, and compensates environment and mechanical errors. The device effectively solves the problem of pain points of an existing device, is high in software and hardware adaptability, remarkably improves the detection efficiency and precision, adapts to lustring rollers of multiple specifications, and is convenient to operate and high in practicability.

The invention relates to a dual dynamic optimization multi-user detection method based on SCMA in an uplink NOMA system, and belongs to the technical field of wireless communication. According to the method, the technical problems of insufficient multi-user interference suppression caused by codebook cross correlation enhancement in a high overload scene, poor convergence stability of a traditional detection algorithm and error code propagation caused by a hard decision mechanism are solved. The scheme of the invention comprises the following steps of: generating a dynamic codebook: constructing a low-mutual-interference codebook through resource load balancing and complex field amplitude phase joint optimization; dual confidence interference elimination: fusing user-level weight and symbol-level weight to dynamically adjust elimination intensity; according to the cross-layer iteration mechanism, soft information closed-loop feedback is achieved in combination with interference suppression merging equalization and hierarchical decoding; and dynamic damping updating: adaptively adjusting the soft information feedback intensity based on the signal-to-noise ratio to suppress oscillation. The method has the beneficial effects that the multi-user interference suppression capability is improved in a breakthrough manner, the interference elimination precision is revolutionarily optimized, and the system keeps ultrahigh reliability in a severe environment with a low signal-to-noise ratio.

The present invention relates to a method and a device for carrying out a method for cleaning depth information of a three-dimensional scene from interference signals, wherein a three-dimensional scene is irradiated by means of a micromechanical mirror that can be tilted about two axes with an irradiation pattern of emitted electromagnetic radiation in a spatially and time-dependent manner, wherein electromagnetic radiation reflected at the three-dimensional scene is detected, so that a reflection image of the three-dimensional scene is captured, from which the depth information of the scene is evaluated based on a comparison of the captured reflection image with a reference image.In order to remove interference signals from the measurement, the method provides parameters of the irradiation pattern at the time of acquisition of the reflection image in a cleaning step and compares a cleaning reference image, which is calculated from a feedback signal of the mirror, with the reflection image in order to identify and eliminate sections in the reflection image that contain interference signals.

The invention discloses a transient voltage and current rapid protection method, system and device and a medium, and belongs to the technical field of power distribution network transient voltage and current protection, and the method comprises the steps: obtaining an analog signal through a sensing module, and carrying out the analog signal processing through a main control module; the main control module carries out filtering elimination on the digital signal after digital conversion by using an FPGA (Field Programmable Gate Array); and the main control module executes range adjustment, fault detection and protection control based on the filtered data, drives the parallel protection module to protect the element and records the system state. According to the transient voltage and current rapid protection method, the sensing module acquires signals, the master control module performs isolation conditioning and digital conversion, the FPGA performs parallel real-time filtering to eliminate interference, the self-adaptive range and multi-parameter fault accurate criterion is adopted, and an optical coupler isolation driving protection element is adopted. Microsecond-level high-speed response and high-reliability protection are achieved, fault expansion is effectively prevented, and equipment safety is guaranteed.

The invention discloses a visual configuration method, device and equipment for train line communication frequency and a medium, and the method comprises the steps: responding to a line selection instruction, and determining a target line which is not allocated with communication frequency on a visual line interface of an existing line; based on the candidate distribution frequency groups, according to the position relation of the stations in the target line, distributing communication frequency pairs for the stations in the target line, and generating at least two frequency distribution strategies of the target line; based on a communication interference verification rule, interference verification is carried out on a target frequency distribution strategy, a target site with communication interference is determined, and highlight display is carried out on the target site of the target line in the visual line interface; and synchronously performing interference elimination processing on the target station. According to the technical scheme, the maintenance and management efficiency of the train digital wireless dispatching communication system is improved.

The invention relates to a backflow cable anti-theft method and system based on power line carrier noise suppression, and belongs to the technical field of power system security, and various noise components in a signal are effectively separated by performing sliding window preprocessing and empirical mode decomposition on the carrier communication signal collected by multiple monitoring nodes; then, intelligent suppression and future trend prediction of noise are realized by adopting a mode of combining classification weighting and LSTM network prediction; through the synergistic effect of a dynamic threshold mechanism and an unscented Kalman filtering algorithm, the system can adaptively adjust the noise suppression intensity, and interference components are eliminated to the maximum extent while the signal integrity is ensured; and finally, based on double criteria of short-time energy and zero-crossing rate characteristics and in combination with a multi-node delay inequality positioning algorithm, accurate identification and accurate positioning of theft events are realized.

The invention provides a screen information anti-leakage method and system, and relates to the field of information security, and the method comprises the steps: calculating and generating a target moire fringe pattern which can strongly interfere with secret photographing equipment based on preset secret photographing equipment parameters and the energy distribution of original information in a transform domain; the Hash value of the original information content and the dynamic safety parameters are subjected to logical operation and then input into a hyperchaotic system, a chaotic phase mask bound with the content and time is generated, amplitude-frequency information and a mask of moire fringes are combined, a preset imaging light path model is subjected to reverse optimization calculation, and a stable and effective anti-divulging disturbance pattern within a preset range is obtained. And carrying out pixel-level superposition on the anti-leakage disturbance pattern and the original information through a multi-scale fusion algorithm, generating a display frame, outputting the display frame to a screen, and updating the disturbance pattern along with the frame or the period to resist the attack of multi-frame average interference elimination.