923 results about "Reflected waves" patented technology

A radar device which is installed in a vehicle or the like needs to detect a target at a short distance from several tens of centimeters to several tens of meters and, therefore, has a problem that a reflected wave from the target may be reflected by a front case of the radar device and then reflected by the target again to be received as a secondary echo by itself. To solve this problem, it is an object of the present invention to provide a radar device again that can prevent multi-reflection to accurately measure a distance to a target in a short range. In a radar device according to the present invention, a surface of a frame body provided around a transmitting antenna and a receiving antenna is shaped so that a reflected wave from a target may not be returned in a direction in which a transmitting wave is transmitted from the transmitting antenna.

The invention discloses a concrete internal defect quantitative detection method and system based on reflected waves, and belongs to the technical field of nondestructive testing. A reflected wave data matrix is obtained through multi-angle excitation and synchronous receiving; calculating energy characteristics of each channel, and constructing an energy response residual field; extracting waveform offset, spectrum jitter and phase change caused by defects by adopting a disturbance comparison algorithm to form a disturbance feature vector set; a defect-response function curved surface is further constructed, a defect topological structure is inversed based on gradient and curvature analysis, and defect geometric parameters are output; and finally, inputting the multi-moment defect parameters into the recurrent neural network, and predicting a defect evolution path and a failure risk. The method has high resolution and trend prediction capability, and is suitable for detection and early warning of concrete structures in bridges, tunnels and nuclear power projects.

The invention discloses a textile production defect detection method and system based on image processing, and belongs to the field of textile defect detection. According to the method, the point cloud data is generated by collecting the surface deformation stripes, and the penetrability reflection signal containing the sound wave propagation time is obtained through the multi-frequency ultrasonic probe. Denoising the point cloud data and then positioning a surface deformation candidate area based on a curvature gradient and a normal vector deflection angle; and an internal abnormal region is determined by separating and extracting a reflection wave amplitude value and a time delay parameter through an ultrasonic frequency band. And matching the surface point cloud coordinates with the ultrasonic propagation time by adopting an iterative nearest point algorithm to establish feature association between the normal vector deflection angle and the reflected wave amplitude. And dynamically distributing fusion weights for the surface features and the internal features according to the curvature gradient change rate and the amplitude attenuation rate to generate a multi-modal defect distribution diagram. And geometric shape and reflection intensity parameters are extracted and matched with a preset defect template to realize type and position judgment, and the method can be suitable for production defect detection of the thick textile with a multi-layer composite material structure.

The invention relates to the technical field of power system fault positioning, in particular to a power distribution network fault accurate positioning method, device and system based on the traveling wave principle, and the method comprises the steps: deploying traveling wave detection equipment at two ends of a certain section of line of a power distribution network, and enabling the traveling wave detection equipment to be used for synchronously collecting potential fault traveling wave signals; analyzing based on the acquired potential fault traveling wave signal, and screening out a fault traveling wave; in the time union set of the local time windows at the two ends, marking the fault traveling wave with the maximum peak value in the single end as a direct wave, analyzing the waveform similarity between the direct wave and the fault traveling wave arriving after the direct wave, and screening out a reflected wave according to the peak value difference; and based on the arrival time of the direct waves and the reflected waves at the two ends, calculating the distance from the fault point to the two ends of the line through a positioning formula to position the fault point. The invention aims to improve the positioning precision of the fault point in the power distribution network by analyzing the distribution characteristics of the pseudo traveling wave signal.

The invention relates to the technical field of satellite altimetry, in particular to a height measurement method based on a feature-enhanced multi-base integrated re-tracking model, which is characterized in that the feature-enhanced multi-base integrated re-tracking model FMERM is constructed to optimize the position of a reflection waveform re-tracking point, and the FMERM model executes the following processing processes: 1, extracting input variable features by using PCA, and extracting the input variable features by using PCA; combining with an original input variable to form an enhanced feature set; secondly, optimizing the hyper-parameters of the XGBoost model by using a grid search method, so that the hyper-parameters of the XGBoost model are optimal; thirdly, utilizing the trained model to accurately calculate a re-tracking point normalization power value of the reflected signal waveform; fourthly, the sea surface height is inverted through the geometrical relationship and direct reflection signal time delay and atmospheric correction; an effective means is provided for solving the problem that a reflection waveform re-tracking method is inaccurate, and powerful support is provided for high-precision satellite-borne GNSS-R sea surface height measurement.

The invention provides a shale reservoir fracture prediction method and system based on three-dimensional full-waveform inversion and a medium, and relates to the technical field of data analysis, and the method comprises the steps: arranging a multi-channel seismic exploration instrument in a shale reservoir region, and collecting full-waveform seismic data, including longitudinal waves, transverse waves and reflected waves; performing three-dimensional full-waveform inversion based on the logging data, the geological structure map and the full-waveform seismic data to generate a shale reservoir attribute model; a multi-scale inversion strategy is constructed, fracture sensitivity analysis and fracture form dynamic prediction are carried out, and reservoir fracture distribution characteristics and reservoir fracture form characteristics are obtained; discrete fracture point connection and fracture network reconstruction are carried out, a reservoir three-dimensional fracture network model is constructed, and fracture prediction visualization display is carried out. The technical problems that in the prior art, only inference based on limited data can be provided, comprehensive capture of a complex fracture network is lacked, distribution and form of fractures cannot be comprehensively and accurately described, and reservoir analysis and mining decisions are affected are solved.

The invention relates to a tide level obtaining method and system based on an OWC wave energy conversion device. The method comprises the following steps: constructing an energy loss prediction model in the air chamber; acquiring field incident wave energy, reflected wave energy, water potential energy increment, kinetic energy increment and pneumatic output energy at the current time period; inputting incident wave energy and reflected wave energy into the model to obtain predicted energy loss; and the tide level variation is solved based on the energy conservation relational expression, and the current tide level is calculated. The system comprises an energy loss prediction module, a wave energy acquisition module, a water body energy acquisition module, a pneumatic output acquisition module, an energy loss calculation module, a tide energy solving module and a tide level calculation module, which cooperatively realize the method. According to the scheme, an external tide gauge station is not needed, the local sea area tide level can be inversed in situ, at high frequency and with high precision, the method is suitable for an OWC-breakwater fusion scene, and cooperative operation of a port and ocean energy is supported.

The invention provides a transcendental extreme ultraviolet light source device which comprises a free electron laser main body which comprises an undulator system and an optical resonant cavity. The undulator system comprises a modulation section undulator and a radiation section undulator; the optical resonant cavity comprises resonant cavity reflectors and a dispersion section, and the modulation section undulator, the dispersion section undulator and the radiation section undulator are sequentially arranged in the direction of an electron beam and are all located between the resonant cavity reflectors; the resonant wavelength output by the radiation section undulator is 1 / h of the resonant wavelength of the modulation section undulator, h is the harmonic number, and when the resonant wavelength output by the radiation section undulator is 6-7nm, the radiation wavelength reflected by the resonant cavity is h times of the resonant wavelength output by the radiation section undulator, so that the resonant cavity is prevented from adopting a reflector with the reflection wavelength of 6-7nm. According to the device, the radiation of the target wavelength is output by using harmonic waves, and a reflector with relatively long wavelength and mature technology can be directly used; various accelerators are compatible, the energy efficiency of the accelerators is greatly improved, and power consumption is reduced.

The invention provides a circular pool wave making system and a wave making and absorbing method, and belongs to the technical field of ocean engineering equipment.The circular pool wave making system comprises a plurality of wave maker units distributed around the circumference of a circular pool at equal intervals; the wave maker unit comprises a linear motor; the linear motor is connected with a floater through a connecting rod; the linear motor is connected with the driver, the driver is connected with the upper computer, the upper computer sends a control command to the driver, and the floater floats on the water surface and has a motion freedom degree of vertical translation. By controlling the movement of each wave maker unit in the circular pool wave making system, full-circumferential wave making is realized, regular waves, irregular waves, rotating waves, annular focused waves and other focused waves in any shape can be made, and meanwhile, waves propagated to the periphery of a pool are absorbed based on an active wave absorbing technology, so that the wave making efficiency is improved. Therefore, various wave making requirements, including simulation of real sea conditions and wave making of extreme sea conditions, are met.

A road disease identification method and system based on geological radar data relates to the field of electrical digital data processing, and the method comprises the steps: transmitting electromagnetic waves to the interior of a target detection road through a geological radar transmitting antenna along a preset detection route, and receiving electromagnetic wave signals reflected by different media in the target detection road through a receiving antenna, obtaining original reflected wave data; after preprocessing the original reflected wave data, aligning ground reflected waves of each signal channel of the original reflected wave data through zero point adjustment to obtain reference data; extracting signals in an effective frequency range in the reference data, and averaging by adopting a sliding time window to obtain a wave group morphological feature, an amplitude feature and a phase spectrum feature of the target area; and matching with a preset feature threshold according to a combination relationship of the wave group morphological features, the amplitude features and the phase spectrum features to obtain a disease type of each target area in the target detection road. By implementing the method, the accuracy of road disease identification can be improved.

The invention relates to a wave energy conversion device, a control method thereof, a control device and a storage medium, and relates to the field of wave energy power generation. The wave energy conversion device comprises a wave energy conversion unit, a fixed reflecting wall structure and a mooring and anchoring system. The wave energy conversion unit comprises a floater, a power output device and a connecting structure for connecting the floater and the power output device; the static immersion depth of the floater in the initial state is configured to respond to wave excitation and mainly take heaving motion, and the power output device is used for converting the heaving motion of the floater into available energy to be output; the wave energy conversion unit is connected to a seabed or a fixed reflecting wall structure; the fixed reflecting wall structure is arranged on one side of the wave energy conversion unit and is used for reflecting waves with opposite propagation directions, so that the wave energy forms energy accumulation in a local area around the wave energy conversion unit; and the mooring and anchoring system is used for stabilizing the wave energy conversion unit and the fixed reflecting wall structure in a preset water area environment together.

The invention discloses a least square reverse time migration method and device for a three-dimensional anisotropic medium, and the method comprises the steps: building a forward equation of the three-dimensional anisotropic medium for a seismic block to be subjected to reverse time migration, and obtaining a background wave field under the three-dimensional anisotropic medium through regional forward modeling; determining a three-dimensional anisotropic medium adjoint wave field by using a pre-established wave equation of the adjoint wave field; according to the adjoint wave field and the background wave field, determining an initial gradient by using a pre-established least square reverse time migration cross-correlation equation, and obtaining a migration result according to the initial gradient; and updating an imaging result through a conjugate gradient method according to the offset result to obtain a reflected wave record.

The invention provides an azimuth transverse wave remote detection data processing method, system and device and a medium. The method comprises the steps that an instrument is adopted to collect novel four-component transverse wave data (xx, xy, yx and yy) of a target well section; under a coordinate system (x, y) of the instrument, synthesizing an XX reflected wave signal with an angle defined relative to the x-axis direction of the instrument by using the orthogonal dipole four-component reflected signal, and defining the XX reflected wave signal as an angle when the reflected wave signal reaches the maximum amplitude; obtaining two cross component signals xy and yx by using novel four-component shear wave data (xx, xy, yx and yy), performing sliding windowing on the cross component signals xy and yx, performing Fourier transform on the signals in the window to obtain phase spectrums, and comparing the phase spectrums of the two cross component signals to obtain an actual phase difference; according to a novel four-component data combination mode, changing the orientation of the reflector, theoretically calculating the theoretical phase difference between the two cross component signals xy and yx, and establishing a rule chart of the cross component signals along with the orientation change of the reflector outside the well based on the theoretical phase difference; and judging the real azimuth angle of the reflector according to the rule plate.

The invention provides a multi-modal ultrasonic machining closed-loop control system and method based on online detection feedback, and the system is provided with a dual-frequency combined machining module, a multi-modal monitoring array and a calculation controller, and deeply integrates ultrasonic machining, online detection and an intelligent control system. The surface forming quality and the material removal rate of a workpiece are judged according to vibration data, collected in real time, of a machining tool and received ultrasonic reflected waves, and the amplitudes and the vibration phases of a coaxial longitudinal / torsional vibration generator, a first ultrasonic generator and a second ultrasonic generator are regulated and controlled through an ultrasonic integrated circuit according to the judgment result. The dual-frequency composite vibration mode of the coaxial longitudinal / torsional vibration generator is regulated and controlled; real-time quality monitoring and closed-loop self-adaptive regulation and control in the machining process are achieved, the machining precision and the surface forming quality can be remarkably improved, meanwhile, accumulation of size errors is effectively restrained, the part machining precision and efficiency are improved, the service life of a tool is prolonged, and the system stability and the intelligent level 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.

The invention relates to a seabed elastic parameter inversion method, system and device under an earthquake spherical reflection wave oscillation-gradual change nuclear decoupling framework, and belongs to the field of geophysical detection and acoustic detection. The method comprises the following steps: (1) inputting observation data and initializing seabed elastic parameters; (2) determining an integral interval and decomposing the integral interval into a plurality of sub-intervals; (3) calculating an oscillation nuclear local integral matrix corresponding to the incident angle of the observation data; (4) calculating a slowly-varying kernel local mean vector; (5) calculating a spherical wave reflection coefficient of oscillation-gradual change kernel decoupling; and (6) constructing a target function by using the decoupled spherical wave reflection coefficient, and solving the target function. In the objective function solving process, only the steps (4) and (5) need to be repeatedly executed after the seabed elastic parameters are updated, the oscillation nuclear local integral matrix in the step (3) does not need to be repeatedly calculated, redundant calculation about oscillation nuclear integration is avoided, and the calculation efficiency is improved.

An object detection device includes an acquisition unit that acquires, a plurality of times at different predetermined timings, an object distance that is a distance from a transmission and reception unit mounted on a vehicle to an object, the object distance being detected on the basis of a result of transmission of a transmission wave by the transmission and reception unit and reception of a reflected wave from the object by the transmission and reception unit, and acquires a travel distance of the vehicle that travels while the object distances are acquired the plurality of times, and a determination unit that determines a height of the object on the basis of a plurality of the object distances and the travel distance that are acquired by the acquisition unit.

The invention discloses an oil well working fluid level measuring method, system and device based on infrasonic waves. The method comprises the following steps: acquiring an acquired mixed infrasonic wave pulse signal, and separating a tubing coupling reflection wave curve and an oil well liquid level reflection wave curve from the mixed infrasonic wave pulse signal; a gradient descent algorithm is adopted to find a multi-section waveform minimum value point on the tubing coupling reflection wave curve, and the propagation speed of the infrasonic wave pulse in the oil sleeve annulus is determined according to the sampling point time corresponding to the minimum value point and the length of the tubing coupling; based on the selected depth base point, reversely searching a first minimum value point on the oil well liquid level reflection wave curve by adopting a gradient descent algorithm, and determining the reflection time of the infrasonic wave pulse according to the sampling point time corresponding to the searched minimum value point; and the depth of the working fluid level of the oil well is determined according to the propagation speed of the infrasonic wave pulse in the oil sleeve annulus and the reflection time of the infrasonic wave pulse. The measuring efficiency, the measuring precision and the real-time performance of the working fluid level of the oil well can be improved.

A target tracking apparatus for tracking a target, includes: an echo data input terminal configured to acquire echo data indicating the correspondence between the position in the detecting area and the level of reflected waves; a processing circuitry configured to: detect one or a plurality of potential tracking targets having a level of the reflected wave equal to or higher than a predetermined value based on the echo data; estimate the predicted position of the potential tracking targets in the future; set an area where the potential tracking targets to be tracked may exist, including the predicted position; select a tracking target from one or a plurality of the potential tracking targets in the area; track the selected tracking target as a tracking target. The processing circuitry may further be configured to: calculate an index value indicating fluctuation of the target; and set the area based on the index value.

The invention relates to the technical field of geological survey, in particular to a rapid stratum disease risk detection method based on a ground penetrating radar, and solves the technical problem of depth positioning misalignment caused by propagation parameter fluctuation due to heterogeneity of an underground medium in stratum disease detection of the ground penetrating radar in the prior art. The method comprises the following steps: acquiring a reflected wave signal at each acquisition moment through a ground penetrating radar; performing signal decomposition processing on the reflected wave signal, separating an intrinsic mode component representing dielectric noise, and performing feature extraction on the intrinsic mode component to determine a dielectric noise intensity index; constructing a dielectric noise intensity sequence according to the dielectric noise intensity index, and performing spatial-temporal characteristic analysis to determine the confidence coefficient of stratum diseases; and according to the dielectric noise intensity index and the stratum disease confidence coefficient, in combination with a pre-calibrated stratum average dielectric constant, constructing a depth correction weight, carrying out adaptive correction on the original stratum disease depth, and outputting the corrected stratum disease depth.

The invention discloses a multi-source information fusion and intelligent interpretation technology in hot dry rock fracture identification, and the technology specifically comprises the following steps: 1, data collection: collecting multi-source data including seismic reflected waves, logging lithologic parameters, electromagnetic abnormal data and thermal infrared remote sensing images, and building a hot dry rock reservoir physical property parameter database, and 2, data preprocessing: carrying out denoising and offset correction on seismic data, normalizing logging data, inverting resistivity distribution of electromagnetic data, and extracting a temperature abnormal region of a thermal infrared image. The invention relates to the technical field of geothermal development. According to the multi-source information fusion and intelligent interpretation technology in hot dry rock fracture identification, by integrating multi-modal information such as geology, geophysics, remote sensing and drilling data and combining a feature level and decision level fusion strategy, a sensing blind area of a single sensor is effectively made up, the data are preprocessed, and the recognition accuracy is improved. And the capability of effectively inhibiting complex environmental factors such as seismic wave noise and electromagnetic interference is improved.

The invention relates to the technical field of geological exploration, in particular to an X-ray fluorescence spectrometer and geological radar combined gold vein rapid positioning method, which comprises the following steps: S1, arranging an exploration survey line in a pre-selected exploration area; s2, along the same measuring line, measuring the content of the gold mineralization indication element in the earth surface or the shallow medium by using an X-ray fluorescence spectrometer, synchronously recording the position information of a measuring point, and generating element content spatial distribution data; the gold mineralization indicating element comprises at least one of arsenic As, antimony Sb and mercury Hg; s3, carrying out detection by using a geological radar along the same measuring line, obtaining a reflected wave signal of an underground medium, synchronously recording position information of a detection point, identifying fault zone and joint zone geological structure anomalous bodies through data processing, and generating geological radar space distribution data; through XRF and GPR data fusion, a CAI quantitative model is established to precisely delineate an ore prospecting target area, a hidden ore body is effectively identified, the exploration precision and efficiency are greatly improved, and the exploration cost is reduced.

The invention relates to the technical field of electric pole burial depth measurement, in particular to an electric pole burial depth nondestructive measurement method, system, equipment and medium, and the method comprises the steps: coaxially installing a first sensor and a second sensor on the side wall of an electric pole at a preset interval along the axial direction of the electric pole; impact excitation is applied to the side wall of the electric pole, vibration signals of the first sensor and the second sensor are synchronously collected, and a dual-channel time domain signal is obtained; calculating the wave velocity of the elastic wave in the current electric pole according to the arrival time difference of the head wave in the dual-channel time domain signal and a preset interval; based on the calculated wave velocity and the dual-channel time domain signal, performing signal processing and statistical analysis on a plurality of samples obtained by multiple times of measurement so as to identify the arrival time difference corresponding to the stable uplink reflected wave; and calculating the burial depth of the electric pole according to the identified arrival time difference and wave velocity of the uplink reflected wave. The method has the beneficial effects that the risk of high-altitude operation is thoroughly avoided through double-sensor side wall installation and intelligent algorithm decoupling.

The invention relates to the technical field of denoising processing, in particular to a road cavity water-containing disease detection method based on radar detection, and the method comprises the steps: obtaining single-channel reflected wave data of each position on a road, obtaining a reflection sequence of each position, obtaining a front sequence and a rear sequence of each peak value, and obtaining a local smoothing coefficient of each peak value; the position sequence distribution condition of all peak values of the reflection sequence of each position is combined to obtain a reflection wave abnormal coefficient of each position, the hole confidence degree of each position is obtained according to the correlation degree between each position and the reflection sequence of the adjacent position, and the hole confidence degree of each position is calculated according to the reflection wave abnormal coefficient of each position and the hole confidence degree of each position. And the implicit noise degree of each position is obtained, and the filtering threshold value of each position is constructed by combining the signal length of the reflected wave collected at each position, so that the pavement cavity water-containing disease is detected. According to the invention, the detection precision of the pavement cavity water-containing disease can be improved.

The invention discloses a ballastless track collaborative monitoring method and system based on distributed fiber bragg gratings. The method comprises the steps that a track design drawing and environment data are obtained, and the environment data comprise soil water content data; determining theoretical propagation data according to the track design drawing and the environmental data; determining a waveform interception time window according to the theoretical propagation data; acquiring original reflection data monitored by the distributed fiber bragg grating, and disassembling the original reflection data according to the waveform interception time window to obtain a target reflection wave band; analyzing the target reflection wave band, and determining a reflection wave spectrum characteristic; and determining the track defect according to the reflected wave spectrum characteristics. The method solves the technical problems that although a method for detecting the track defects through an impact echo method exists in the prior art, due to the complex structure of the ballastless track and the dynamic change of the environment, prediction is inaccurate and unstable and personal errors are likely to be introduced due to the fact that existing equipment is insufficient in precision, and then the efficiency of the whole process is low.

The invention discloses a drill bit temperature self-adaptive control method based on drilling sensing, and relates to the technical field of intelligent control. Acquiring multi-modal data, calculating an intensity difference value of adjacent sampling points based on the reflected wave intensity sequence, identifying a rock stratum interface position according to the intensity difference value, and calculating a thermal conductivity difference ratio of two sides of an interface and an interface position coordinate through a rock stratum attribute model; when the thermal conductivity difference ratio reaches a temperature rise prediction threshold value, calculating predicted temperature rise based on the multi-modal data, and generating a basic cooling compensation scheme; when the thermal conductivity difference ratio is increased to an inhibition response threshold value, an enhanced cooling compensation scheme is generated based on parameters after predicted temperature rise and load reduction; actual temperature rise data is monitored in real time, the error amplitude of temperature rise is compared and predicted, and the compensation coefficient of the basic cooling compensation scheme is updated; and a thermal field distribution diagram is constructed based on the multi-modal data and the interface position coordinates, a high-temperature hot spot area is marked, a corrected environment temperature value is output, and basic cooling compensation scheme parameters are updated.

The invention relates to the technical field of cable defect identification, in particular to a cable fault identification method based on a convolutional neural network. The method comprises the following specific steps: establishing a one-dimensional convolutional neural network model based on a transmission line model to predict a cable fault type and a fault point location; building a test platform to collect data of cables of different models and with a certain length, wherein the data is used for building a data set for model training; training the prediction model by using the data set, and iterating for multiple times until the target accuracy is met; reflected wave data of a to-be-detected cable are collected and input into the trained prediction model, and a fault type probability vector and the distance between the fault position and the initial end of the cable are output through the prediction model. The invention provides a one-dimensional convolutional neural network prediction model fusing multi-scale feature extraction and a time sequence attention mechanism, the model has good effects on cable fault identification and fault position prediction, and a cable fault identification model for different types and different defect positions is realized.

The invention discloses a cable safety monitoring and early warning system comprising the following modules: a disturbance injection module used for injecting a double-frequency disturbance electric signal; the temperature acquisition module is used for acquiring temperature change data of each monitoring point of the cable; the residual construction module is used for constructing a two-dimensional disturbance thermal residual spectrum; the thermal evolution analysis module is used for performing wavelet packet multi-scale decomposition on the disturbance thermal residual spectrum and generating a two-dimensional thermal evolution image through an improved back projection reconstruction algorithm; the first early warning calculation module is used for acquiring a thermal response function and calculating a time partial derivative to obtain a thermal evolution trend index as a first early warning factor; the vibration acquisition module is used for acquiring a reflection waveform data set; the second early warning calculation module is used for calculating an equal-amplitude decay time symmetry rate index as a second early warning factor; and the early warning generation module is used for generating a final early warning scheme according to a preset judgment rule. According to the invention, on the basis of dual-frequency disturbance excitation and an improved back projection reconstruction algorithm, intelligent early warning of cable monitoring is realized.

The invention discloses a distribution network line fault detection method, system and device based on pulse reflection waves and a medium, and belongs to the technical field of fault detection, and the method comprises the steps: deploying pulse sources, generating pulse signals, recording a reference waveform of each pulse source, receiving reflection wave signals, extracting features, and comparing reflection wave features with the reference waveforms to recognize abnormal signals. Filtering the abnormal signal, calculating an error index and a harmonic index of the filtered signal to preliminarily judge a fault point, calculating a path difference of the fault point, constructing a path matrix, and optimizing the path matrix according to a three-phase signal of the distribution network; and extracting a reflected wave signal corresponding to the position of the fault point in the path matrix, converting the reflected wave signal into a two-dimensional image, and classifying the fault point through a neural network. According to the method, the accurate preliminary judgment of the fault point is realized, the anti-noise capability and the analysis precision of the signal are effectively improved, the accuracy of the path matrix is remarkably enhanced, and the efficient detection, positioning and classification of the complex distribution network fault are realized.

The invention discloses a target detection system and method applying a millimeter wave radar, and relates to the technical field of target detection, and the system comprises a millimeter wave radar detection module, an auxiliary sensing module, a signal processing module and a data interaction module. The millimeter wave radar detection module is used for collecting direct millimeter wave signals and multipath reflection wave mixed signals through a radar. The auxiliary sensing module is used for acquiring a scene image and a vehicle motion state through a high-definition camera and an inertial measurement unit; the signal processing module is used for carrying out feature extraction and space-time filtering optimization on the collected signals; the data interaction module is used for outputting a target detection result; according to the invention, the direct wave signal and the multipath reflection wave signal in the collected signals are accurately distinguished through the specific analysis and evaluation parameters, and the authenticity of the target represented by the point cloud is verified through the analysis of the point cloud position change rate. The effect of detecting the false target point cloud appearing in the point cloud image caused by the multipath reflection wave signal is achieved.