2081 results about "Anti jamming" patented technology

The invention relates to the technical field of power distribution network fault positioning, in particular to a power distribution network fault positioning method based on traveling wave detection, and the method comprises the following steps: S1, distributed detection network construction and signal collection: collecting a three-phase current traveling wave signal in real time; s2, time-frequency joint analysis and feature extraction: extracting time-frequency energy distribution features; s3, intelligent screening of effective fault wave heads: screening out the effective fault wave heads; s4, initial arrival time parameter determination: determining the initial arrival time of each detection point; s5, according to topology self-adaptive error correction, transmission path wave velocity deviation is corrected through line parameter dynamic compensation, and clock errors of the asynchronous detection device are eliminated through adjacent node clock difference estimation; and S6, multi-source data fusion and fault positioning: resolving space coordinates of fault points. According to the invention, the method improves the recognition accuracy of fault features, and solves the problems of poor anti-interference capability and high misjudgment rate of a single feature in a conventional method.

The invention provides a multi-target tracking and interference cooperation method and system based on a millimeter wave radar. The method comprises the following steps: firstly, acquiring an original detection signal in real time by using a millimeter-wave radar carried by an unmanned aerial vehicle, establishing a track correlation sequence of each moving target, extracting interference waveform characteristics formed by signal coupling among a plurality of moving targets in the original detection signal, and then, according to a spatial distribution parameter of the interference waveform characteristics, determining a track correlation sequence of each moving target; correcting the space-time continuity judgment rule of the trajectory correlation sequence, and finally outputting an anti-interference cooperative tracking result based on the corrected space-time continuity judgment rule. According to the technical scheme provided by the invention, the industry pain point that waveform distortion interference of the millimeter wave radar in a dense target scene cannot be eradicated is solved, and the error correlation rate in a dense formation scene is also reduced.

The invention discloses a traveling wave fault positioning system and method based on Beidou synchronization and intelligent filtering, and belongs to the technical field of power system fault detection. The system comprises a Beidou synchronization module used for acquiring a high-precision time service signal and realizing multi-terminal clock consistency; the traveling wave sampling module is used for synchronously collecting multi-point electric power signals and filtering the multi-point electric power signals; the wave head extraction module realizes wave head identification through a sliding window and dynamic threshold judgment; the time coding module constructs a time difference vector and maps a position relation in combination with a power grid topology; the fault positioning module estimates an initial position based on a nonlinear propagation model, and the intelligent filtering module carries out dynamic correction through state prediction and unscented Kalman filtering. The method realizes rapid and accurate positioning of fault points, has the advantages of high synchronization precision, strong anti-interference capability, small positioning error and the like, and is suitable for traveling wave fault positioning requirements in various electric power scenes.

The invention discloses a photoelectric event identification optimization method and system for a single photoelectron detector, and the method comprises the steps: collecting environment noise data, carrying out the modeling of environment noise, and generating a noise processing model; real-time operation monitoring data of the target single photoelectron detector are acquired, noise processing is carried out, and time-frequency domain waveform decoupling is carried out after processing is completed; performing pulse accumulation detection through a time-frequency domain decoupling result, marking an accumulation event, and separating accumulated pulses by using a pre-trained pulse separation network to obtain pulse separation information; generating a floating judgment boundary parameter according to the pulse separation information, and carrying out photoelectric event judgment to obtain a photoelectric event judgment list; and obtaining a historical photoelectric event discrimination list of the target single photoelectron detector, extracting an abnormal discrimination event, analyzing whether maintenance is needed, generating a maintenance self-inspection report, and pushing the maintenance self-inspection report. The detector keeps high robustness and anti-interference capability in the whole life cycle, and the identification error rate improvement caused by aging change is avoided.

The invention discloses an intelligent film-drawing and unwinding control method and system based on real-time tension, and relates to the field of automatic control and intelligent manufacturing, and the method comprises the following steps: ensuring normal starting of equipment and system states through equipment self-inspection and technological parameter input; tension and speed data are collected in real time and preprocessed, and support is provided for fuzzy PID control; the parameters of the fuzzy PID controller are dynamically adjusted by calculating the tension error and the change rate of the tension error so as to adapt to different membrane material characteristics and unwinding working conditions; an improved genetic algorithm is used for optimizing parameters of a PID controller, overshoot is minimized, the adjusting time is shortened, and the robustness and the anti-interference capability of the system are improved; a closed-loop control system is constructed, and the stability of unwinding tension is ensured through real-time feedback signals; and the system state is monitored in real time in combination with an anomaly detection algorithm, and a control strategy is automatically adjusted or fault protection is performed. The control method disclosed by the invention can be widely applied to the fields of film unwinding and automatic production lines, and has a relatively high intelligent level.

An icing detection method based on tension and tilt angle sensors. Two kinds of sensor data are comprehensively utilized, cross validation and mutual compensation are realized, and the precision of an icing monitoring result is improved; compared with a single sensor, data fusion of a multi-source heterogeneous sensor improves the robustness and the anti-interference ability of ice volume assessment, and improves the reliability of icing detection; an uncertainty analysis model for icing thickness is established, a confidence interval of a monitoring result is given, and more sufficient reference information is provided for related decisions; by setting a scientific and reasonable monitoring and early-warning mechanism, intelligent monitoring and early-warning of an icing condition are realized, and the intelligent level of the technology is improved; and by establishing an icing monitoring model, the icing condition of wires can be accurately predicted, and the early-warning and monitoring capabilities are improved to ensure the safe operation of a power grid. Also disclosed are an icing detection system based on tension and tilt angle sensors, a computer device and a computer-readable storage medium.

The invention discloses an acoustic emission intelligent detection method and system for hydrogen-induced damage of a high-pressure hydrogen system, and the method comprises the steps: collecting a system operation signal through an acoustic emission sensor, carrying out the combined preprocessing of variational mode decomposition and adaptive wavelet threshold noise reduction, restraining noise, constructing a lightweight MobileNet-TCN network, carrying out the deep feature extraction, and carrying out the detection of the hydrogen-induced damage of the high-pressure hydrogen system. GRU and a three-dimensional point cloud technology are fused to realize submillimeter-level positioning of an acoustic emission source, a big data damage case library is associated based on an acoustic emission parameter accumulation model, dynamic assessment and early warning of damage risks are realized, multi-physics field monitoring data are combined, damage classification is optimized through a GCNs (Graph Convolutional Networks), and the above processes are systematically integrated. And full-chain intelligent processing from signal acquisition to risk early warning is completed. The scheme has the advantages of strong anti-interference capability, submillimeter positioning precision, high edge end reasoning efficiency, high damage classification accuracy and dynamic early warning capability, and is suitable for safety monitoring of hydrogen energy storage and transportation equipment.

The invention provides a frequency division multiplexing multi-beam anti-interference method for a shaped antenna, and the method comprises the steps: obtaining the signal data of each frequency band according to the multi-beam spatial domain data received by the shaped antenna and a filter of a frequency domain corresponding to the working frequency band of each beam; performing high-resolution spatial spectrum estimation on the signal data of each frequency band by adopting a MUSIC algorithm to obtain an incoming wave space direction of an interference signal; according to the incoming wave space direction of the interference signal, on the basis of a preset multi-beam zeroing anti-interference strategy, self-adaptive weights of all same-frequency beams are obtained in a spatial domain and frequency domain two-dimensional combined processing mode; the adaptive weights of the same-frequency beams are combined, a comprehensive directional diagram is obtained, and a multi-beam interference zeroing result is obtained, according to the method, the whole airspace is covered with the beams of different frequency points, and space-frequency combined suppression of airspace complex interference is achieved.

The invention relates to an anti-deception-interference joint detection method and system based on space-time frequency, and the method comprises the steps: obtaining a signal source direction of a received satellite signal, and dividing the signal source direction into channels according to angles based on a beam forming criterion; based on a preset capture rule, initiating capture search for the signal in each channel, and synchronously performing correlation peak detection and array antenna anti-interference detection on the signal to obtain angle information of the signal in each channel and satellite PRN information in the capture process; null processing is carried out on the signal source directions of two or more satellite signals appearing at the same angle; outputting a capture result based on the capture rule, and tracking the capture result conforming to the capture rule; doppler frequency shift consistency detection and signal power calculation are carried out on the signals subjected to rotation tracking, and deception signals are recognized and fed back to the antenna array for filtering processing. The application has the effects of expanding the application range of the anti-deception jamming detection method and improving the anti-jamming capability of navigation positioning.

The invention relates to the technical field of energy storage, in particular to an energy storage converter which comprises a shell, the shell is provided with a first containing cavity, a second containing cavity and a third containing cavity which are distributed in the first direction, the first containing cavity is provided with an inductor, a radiator and a first cooling fan, and the second containing cavity is provided with a high-voltage box, a power device and a heating electronic device; the third accommodating cavity is provided with a control board, an anti-interference board and a power board; a first partition plate and a second partition plate which are distributed in a spaced mode in the second direction are arranged between the first containing cavity and the second containing cavity, the first partition plate can support the high-voltage box, and the second partition plate can support the heating electronic device; along a second direction, the power device is arranged between the first partition plate and the second partition plate, and the second direction is perpendicular to the first direction; a first supporting plate is arranged between the second containing cavity and the third containing cavity and supports the control plate, the anti-interference plate and the power panel. The energy storage converter is high in space utilization rate, small in size and high in operation stability.

A multi-antenna array-based improved GNSS anti-jamming method using an optimal weight coefficient, comprising the following steps: constructing a signal model for collecting observation signals x by a GNSS antenna array consisting of N array elements; on the basis of the signal model, acquiring a covariance matrix of signals received by the array; performing eigenvalue decomposition on the covariance matrix of the signals received by the array to obtain a matrix composed of eigenvectors; respectively constructing a jamming subspace and a signal-plus-noise subspace; on the basis of a linearly constrained minimum variance beamforming algorithm, designing a subspace constraint-based improved algorithm using an optimal weight coefficient; solving for the optimal weight coefficient on the basis of the linearly constrained minimum variance beamforming algorithm; and using the optimal weight coefficient to weigh the received signals to realize GNSS jamming suppression. According to the improved algorithm, prior information of direction angles of signals is not required, gains of real signals are protected while jamming is suppressed, and the problem of potential safety hazards caused by low-cost jammers is effectively alleviated.

The invention discloses a high-low voltage switch cabinet feeder fault positioning method and system based on transient traveling waves, and belongs to the technical field of power system fault detection and positioning, and the method comprises the steps: synchronously collecting electric and acoustic multi-mode signals, and generating a weighted transient synchronization feature matrix; performing time-frequency transformation and feedback optimization on the matrix, and outputting a multi-scale time-frequency feature set; analyzing the feature set by using an integrated learning network, and outputting a layered preliminary positioning result; convergence to an accurate fault section is carried out through iteration calibration; and finally, fusing multi-model calculation and outputting a comprehensive fault positioning report. According to the method, a technical path of combining multi-modal signal fusion and a physical model is adopted, convergence from fuzzy region division to an accurate position can be realized in stages, and the accuracy, the speed and the anti-interference capability of switch cabinet feeder line fault positioning are remarkably improved.

The invention relates to the technical field of wireless communication, and particularly discloses a self-adaptive anti-interference communication method and system based on star flash-Bluetooth dual-mode, and the method comprises the steps: monitoring channel interference parameters in real time through a dual-mode radio frequency module on a communication terminal, including the out-of-band radiation power and the pulse interference duty ratio at the switching moment; instantaneous interference intensity features are extracted by using synchronous compression wavelet transform and sparse time-frequency analysis, periodic pulse interference features are identified by combining Hawkes process modeling, and a comprehensive anti-interference feature vector is constructed by fusion; the feature vectors are input into a pre-trained gradient boosting tree model for communication quality evaluation, an optimal communication mode is dynamically selected according to a scoring result, intelligent response to a complex interference environment is achieved, the stability and reliability of a communication system in a high-interference scene are improved, energy efficiency optimization and resource scheduling are considered, and the method is suitable for large-scale popularization and application. The method is suitable for industrial, medical, Internet of Things and other application scenes with strict requirements on communication quality.

The invention discloses a building facility detection data intelligent analysis and report system and method, and relates to the technical field of building structure health monitoring, and the method comprises the steps: achieving the high-precision data capture in a strong light dust raising environment through a laser radar and a dual-spectrum camera of a multi-mode anti-interference collection module; a millimeter wave radar array and an IMU inertial unit of the high-risk area strengthening module penetrate through severe working conditions to monitor key structure displacement; the credibility management engine is provided with an NFC timestamp chip and a double-chain block chain, and data judicial-level credibility and operation traceability are ensured; through humidity response gel packaging and Peltier semiconductor refrigeration of the self-maintenance sensing network, node environment self-adaption and drift suppression are achieved; and the multi-stage analysis center fuses edge-cloud computing power based on federal learning, generates a dynamic risk map and automatically outputs a compliance report. Accurate and timely reference is provided for operation and maintenance decisions, and the safety management level of building facilities is effectively improved.

Disclosed in the present invention are an intelligent communication countermeasure method and a system. The method comprises: acquiring geographic locations of a transmitter and a receiver of a communication party, calculating a channel function of each channel, and constructing a communication party utility model; acquiring the geographic location of a jammer, calculating the gain of each channel, and constructing a jammer utility model; constructing a communication countermeasure process on the basis of a Stackelberg game theory, taking the communication party as a leader in the game process, and taking the jammer as a follower in the game process; and when the utility of the communication party and the utility of a jammer party finally converge after multiple rounds of games, outputting policies of the communication party and the jammer party in a stable state. According to the present invention, an intelligent reflecting surface is introduced into the communication party, the intelligent reflecting surface reflects useful signals on the basis of the location of the receiver, and signals of a direct path and a reflection path are mutually counteracted by changing phases of jamming signals, so as to suppress the jamming signals, thereby effectively improving the anti-jamming capability of the communication party.

The invention relates to the technical field of hydrogen production, in particular to a quick response system of a double-probe hydrogen leakage explosion detector and a grading early warning method. Comprising a first hydrogen concentration detection probe and a second hydrogen concentration detection probe which are respectively arranged at two different positions of a monitored area to form a space complementation detection network; the signal processing unit is electrically connected with the two probes and is used for receiving and processing the concentration signals output by the probes; the quick response control module is used for calculating the hydrogen concentration change rate in real time based on an output result of the signal processing unit; the grading early warning module is used for generating different grades of early warning signals according to the hydrogen concentration change rate and the absolute concentration value; the communication interface module is used for transmitting the early warning signal to a remote monitoring terminal; the multi-physical-field parameter change of the electrolyte can be sensed in real time, the control instruction is dynamically corrected, and the anti-interference capability is high.

The invention relates to the technical field of signal encryption, in particular to an aviation data bus signal encryption method and system based on a field programmable gate array (FPGA), which comprises the following steps of: based on input three-dimensional tensor signal data, extracting slices from a time index of an aviation data bus according to a fixed interval, progressively sequencing amplitudes of signal channels, and then segmenting; according to the method, through processing logic of matrix decomposition and feature curve generation, the feature extraction and dimension reduction process is optimized, the distinction degree and the expression capacity of feature information are improved, the randomness and the anti-cracking capacity of a key are enhanced through a key generation mode combining a dynamic disturbance factor and an encryption parameter, and the safety of signal transmission is guaranteed; through combination of amplitude superposition and frame-by-frame storage, dynamism and high efficiency of a signal encryption process are realized, signal tampering and eavesdropping risks are reduced, and through feature reconstruction and point-by-point matching processing in a decryption stage, accurate restoration of signal amplitude is ensured, and data integrity and anti-interference capability are guaranteed.

The invention discloses an online monitoring system for partial discharge of a main transformer. The online monitoring system specifically comprises a series of modules including sensors, detection equipment, a data acquisition module, a data processing module, a data transmission module and an online monitoring platform, wherein the sensors are reasonably arranged outside the transformer by adopting multi-band combination of ultrahigh frequency, high-frequency current, ultrasonic waves and the like; the detection equipment realizes high efficiency and flexibility through a C language underlying driver and an assembly language data interface, and has various anti-interference and fault early warning technologies; the data acquisition module is used for conditioning an original signal and improving the data quality by adopting various filters; reliable and real-time data transmission is ensured by adopting a TCP / IP protocol; the data processing module comprises a time domain and frequency domain conversion sub-module and other sub-modules for auxiliary diagnosis; the online monitoring platform is based on Web, and is rich in function and extensible; the system monitors a plurality of main transformers in a transformer substation, collects signals through sensors, processes the signals through the modules and transmits the signals to a platform, meanwhile, the system is subjected to regular inspection, software and hardware upgrading optimization and the like to guarantee stable operation of the system, and support is provided for safety of an electric power system.

The invention discloses a millimeter wave radar intelligent anti-interference method and system for an underground complex electromagnetic environment. The method comprises the following steps: S1, acquiring underground electromagnetic environment data by using a sensor; s2, performing calculation based on the underground electromagnetic environment data to obtain multi-dimensional state representation of the millimeter wave radar in an underground complex detection environment; s3, obtaining an anti-interference performance analysis index based on the underground electromagnetic environment data, and constructing a radar anti-interference intelligent efficiency evaluation model based on the anti-interference performance analysis index; s4, calculating an anti-interference optimal strategy by using a deep reinforcement learning algorithm based on the underground electromagnetic environment data, the multi-dimensional state representation and the radar anti-interference intelligent efficiency evaluation model; and S5, adjusting parameters of the deep reinforcement learning algorithm in real time based on an evaluation result of the radar anti-interference intelligent performance evaluation model and underground electromagnetic environment data, and obtaining a real-time updated underground complex electromagnetic environment-oriented millimeter wave radar intelligent anti-interference result.

The invention relates to the technical field of performance testing, and discloses a multi-parameter insulating sleeve aging performance testing method and system, and the method comprises the steps: carrying out the multi-parameter detection signal collection of an insulating sleeve, and obtaining standardized signal data; inputting the standardized signal data into a coupling recognition network for feature analysis to obtain a classification recognition result; performing aging factor threshold adjustment on the rising edge slope of the discharge pulse of the insulating sleeve based on the classification identification result to obtain a dynamic separation parameter; performing feature space matching and differential identification on the partial discharge signal according to the dynamic separation parameter to obtain feature classification data; phase clustering analysis and step response characteristic analysis are carried out based on the characteristic classification data to obtain the aging state variable coefficient of the insulating sleeve, the problem that the recognition precision of a traditional fixed parameter method is reduced in different aging states is solved, and high recognition accuracy and anti-interference robustness can still be kept in a complex electromagnetic environment.

The invention provides an anti-interference and multi-target positioning method for a vehicle-mounted millimeter-wave radar, and the method comprises the steps: constructing a third-order cumulant interference suppression module, carrying out the processing of a signal received by the vehicle-mounted millimeter-wave radar through a third-order cumulant algorithm, suppressing the mutual interference between radars, and generating a high-resolution distance-angle thermodynamic diagram; constructing a dual-channel adaptive edge detection module, dividing the generated thermodynamic diagram into an original channel and an edge detection channel, dynamically allocating weights based on local gradient intensity, and fusing and outputting an enhanced thermodynamic diagram; and constructing a target identification and positioning module, performing target detection and positioning on the enhanced thermodynamic diagram through an improved YOLOv8 neural network, and outputting distance and angle information of the target. According to the method, the problems of mutual interference between radars, difficulty in detection of weak and small targets, low separation precision of overlapped targets and the like in a complex traffic scene are solved by combining high-order statistical signal processing and deep learning technologies, and the robustness and the real-time performance of target positioning are improved.

The invention discloses an energy router inversion grid-connected port control method for optimizing a VSG, and the LADRC can dynamically compensate the influence of external disturbance on a system through the real-time observation of the state of the system, especially the monitoring of the disturbance and the change of the system, thereby enhancing the anti-interference capability of the system. When the load is suddenly changed or is externally disturbed, the LADRC can quickly identify the disturbance and generate an adaptive control signal, so that the inverter system is quickly recovered to a stable state. And the fuzzy adaptive PI controller adaptively adjusts the proportionality coefficient and the integral coefficient of the PI controller according to the real-time deviation and the change rate of the system, so that the parameters of the controller can be automatically adjusted according to the state of the system, and the limitation of a fixed parameter controller under complex working conditions is avoided. The self-adaptive adjustment not only improves the control precision, but also greatly improves the dynamic response speed of the system, so that the inverter can maintain an efficient and stable working state under the conditions of power grid disturbance, load change and the like.

The invention relates to the technical field of pipeline leakage detection, in particular to an intelligent pipeline leakage monitoring system based on a positioning fitting technology, which comprises a sensor configuration and signal preprocessing module, a signal interference processing module, a real-time monitoring and abnormity identification module and a positioning fitting and leakage evaluation module, by deploying the sensor network, determining and optimizing the positions of the sensors and preprocessing sensor signals, the monitoring efficiency of the sensors can be improved; the reliability and integrity of data transmission are guaranteed through anti-interference processing of sensor signals; possible leakage points are preliminarily identified by monitoring and analyzing the state of the pipeline, and data support is provided for subsequent data analysis. The accurate position of the suspected leakage point is obtained through the positioning fitting technology, leakage evaluation analysis is carried out, measures can be taken, and a basis is provided for subsequent decision making. The method is used for solving the technical problem that the current pipeline leakage monitoring efficiency is not high.

The invention relates to a tunnel lining deformation real-time monitoring system and method, and relates to the technical field of tunnel engineering health monitoring, and the system comprises a dynamic sensing layer which is provided with a self-adaptive sensor array composed of magnetic type sensor capsules deployed by an unmanned aerial vehicle cluster and double-helix anti-shearing optical fibers, and covers a traditional monitoring blind area; the edge processing layer carries a lightweight AI chip to process laser point cloud and image data in real time so as to realize disease grading response; and the cloud decision-making layer generates a three-dimensional health map through a digital twin engine, and ensures data credibility in combination with block chain evidence storage. The method comprises the steps of dynamic networking, multi-source acquisition, edge cloud collaborative analysis and intelligent decision making. The problems of large monitoring blind area, high response delay and weak anti-interference capability in the prior art are solved, the early recognition precision and operation and maintenance efficiency of tunnel lining diseases are remarkably improved, and the method is suitable for full-life-cycle health management of tunnels in complex environments such as railways and highways.

The invention relates to the technical field of data cleaning processing, in particular to a big data cleaning method based on deep learning and data feature matching, and the method comprises the following steps: constructing a three-dimensional electromagnetic pollution topological map through an electromagnetic fingerprint spectrum generator; anti-interference cleaning channels are activated according to dynamic changes of the electromagnetic pollution topological map, and each channel generates a channel configuration instruction set; receiving a channel configuration instruction set, executing dual operations of data pulse waveform reconstruction and feature restoration, and outputting a restored clean data block; and writing back the clean data block to the original storage medium. According to the method, accurate recovery of pulse distortion caused by electromagnetic interference is achieved, and compared with a traditional method based on low-pass filtering or interpolation recovery, nonlinear interference components can be more effectively removed, data signal integrity is ensured, and the fidelity of recovered data is improved.

The utility model discloses an anti-interference shielding type electronic connector. The anti-interference shielding device comprises a base and an anti-interference shielding assembly arranged on the surface of the base, the anti-interference shielding assembly comprises a jack arranged on the surface of the base, the jack is internally connected with a plugboard in a matched mode, one end of the plugboard is fixedly connected with a top plate, the inner side of the top plate is detachably connected with a first rubber sleeve, and the surface of the top plate is provided with an opening. A vertical plate is movably connected into the opening, a first rubber sleeve detachably connected with the bottom of the top plate sleeves the surface of the first connector to achieve the anti-interference shielding effect on the first connector, an insertion plate, the top plate and the vertical plate are all made of insulating materials, so that the anti-interference shielding performance of the connector outside is improved, and the top plate is connected with the vertical plate through the opening formed in the surface. The vertical plate seals one side of the plugboard to increase the overall anti-interference shielding strength, the transverse plate is made of an insulating material to increase the anti-interference shielding performance to the connecting hole, and the second rubber sleeve performs anti-interference shielding on the interior of the connecting hole.

The invention discloses a multi-modal fusion green port digital management and control system and method, and relates to the technical field of port management and control, and the method comprises the following steps: collecting the signal-to-noise ratio data of a radio channel of a video link, and generating a port area electromagnetic interference thermodynamic diagram through spatial interpolation; and dynamically adjusting a synchronous clock of each camera according to the electromagnetic interference thermodynamic diagram, mapping the frame triggering offset into a pixel compensation matrix, and performing sub-pixel-level space-time correction on the image frame to obtain a corrected video frame sequence. According to the method, target credibility judgment and path optimization under multi-modal perception are realized through construction of an interference thermodynamic diagram, space-time correction, artifact recognition and point cloud fusion, an interference model and a recognition threshold are dynamically regulated and controlled through closed-loop feedback, and an end-to-end self-adaptive port digital management and control method is constructed. The artifact identification accuracy and scheduling stability are significantly improved, and the anti-interference and green efficient operation capabilities of the port management and control system are enhanced.

The invention relates to the technical field of signal processing, in particular to a sound source localization method and system based on improved adaptive beam forming. A microphone array is used for collecting sound source signals, and a signal receiving model is established; designing an improved adaptive filtering beam forming algorithm, and optimizing a cost function; solving an optimal weighting vector through a minimization cost function, and introducing an adaptive updating mechanism to dynamically adjust the weighting vector; selecting a reference microphone, calculating time difference of arrival and distance difference of other microphones, and establishing a distance difference equation from the sound source to the receiver; and solving a sound source coordinate and calculating the distance between the center of the microphone array and the sound source. According to the invention, through innovative algorithm design and a self-adaptive mechanism, the precision and stability of sound source localization are significantly improved, and especially, the method shows strong anti-interference capability and adaptability in a complex noise environment. The method can effectively improve the equipment maintenance efficiency in the substation equipment noise monitoring, reduces the fault risk, and provides reliable guarantee for the safe operation of a power grid.

The invention relates to the technical field of target recognition, and discloses an improved YOLOv8-based small target detection and recognition method and system, and the method comprises the steps: obtaining a small target defect image of an industrial detection object, and constructing a small target defect image data set; the method comprises the following steps: on the basis of a YOLOv8 network model, replacing a C2f module in a backbone network of the YOLOv8 network model with a dynamic snakelike convolution module containing a four-branch cavity convolution group, deploying a dual-stage screening mechanism behind a detection head, and constructing an improved YOLOv8 model; training the improved YOLOv8 model by using the small target defect image data set to obtain a trained improved YOLOv8 model; and inputting an optical image of a to-be-detected object into the trained improved YOLOv8 model to carry out small target defect detection and identification. According to the scheme, the technical problems of low tiny target identification precision and weak anti-interference capability in industrial detection can be solved.

The invention relates to the technical field of high-precision anti-interference satellite navigation, and particularly discloses a high-precision anti-interference navigation interference subspace quick solving method, which comprises the following steps of: solving a virtual interference subspace required by relatively strong short-time delay deception interference detection based on the position of a satellite to be detected, the phase center position of an array antenna and the attitude of an antenna array plane; and based on multi-stage Wiener filtering forward decomposition, respectively solving a dense suppression jamming subspace, an isolated suppression deception jamming subspace and a dense suppression deception jamming subspace. According to the method, virtual interference data and strong deception interference data do not need to be generated through simulation, so that a pseudo-random code sequence of deception interference does not need to be known, and strength, pseudo-code time delay, carrier phase and the like do not need to be reasonably adjusted; meanwhile, multi-level Wiener filtering forward decomposition based on the data level and the covariance matrix level is good in rank reduction performance, simple in algorithm and small in operand; the method has the advantages of less prior information constraint, easy engineering realization and the like.