2728 results about "Echo signal" patented technology

The invention provides a falling detection method and system based on millimeter wave radar fusion human body postures, and relates to the technical field of falling detection, and the method comprises the steps: collecting human body echo signals, and constructing three-dimensional point cloud data through distance, angle and speed estimation; the point cloud is processed to generate a dynamic sequence, and skeleton features and key point coordinates are extracted in combination with a graph convolutional network. A skeleton connection relation is constructed based on the key points, attitude features are calculated, key change features are extracted through a self-attention mechanism, and the key change features are fused with a point cloud sequence to construct multi-modal features. And the double-branch state recognition network processes the fusion features, and when abnormality is detected, further analysis is carried out through residual attention and space-time diagram convolution, and finally, the falling state is recognized and the risk level is evaluated.

The invention provides a machine tool machining parameter adjustment method and system, relates to the technical field of machine tool machining parameter adjustment, and aims to infer local acoustic impedance of a workpiece material in real time by emitting sound waves and receiving echo signals on the workpiece material in front of cutting of a cutter and extracting acoustic features. And when the local acoustic impedance is continuously higher than a preset normal reference value and exceeds a preset threshold value, determining that a local abnormal region exists, and generating an early warning signal. And before the tool makes contact with the local abnormal area, the machining parameters are adjusted in advance according to the early warning signal. And real-time feedback signals in the cutting process are continuously monitored, and the machining parameters are further adjusted based on the real-time feedback signals and the early warning signals. The problems that in the prior art, due to uneven local hardness of a workpiece material, a tool is unexpected to be abraded, and machining size deviation is accumulated can be effectively solved.

The invention discloses a nondestructive testing method for a welding seam of a steel structure. The method comprises the steps that firstly, morphology data of the surface of a building steel structure are obtained through a high-precision laser scanner and an electromagnetic induction technology; coating thickness distribution and weld surface roughness are analyzed based on the morphology data, and a surface information matrix is constructed; then automatically adjusting ultrasonic wave beam parameters of the ultrasonic phased array by using the adaptive parameter regulation and control model and executing detection to obtain a preliminary ultrasonic echo signal; the time-frequency domain difference between the preliminary echo and the reference signal is calculated through an echo signal compensation model, and secondary compensation is completed to obtain an optimized ultrasonic echo signal; fusing the optimized echo signal, the morphology data and the surface information matrix to construct a detection data set, and adopting a pre-trained steel structure detection model to realize defect detection; and finally, evaluating the confidence of a detection result by adopting a three-dimensional confidence evaluation model, performing grading, and performing local re-detection and parameter adjustment on a low-confidence region to form closed-loop optimization. According to the method, the surface state of the steel structure can be adaptively matched, the accuracy of echo signals and the defect detection precision are improved, and the detection reliability is guaranteed through three-dimensional confidence evaluation.

The invention discloses a full waveform decomposition method based on a multi-branch convolutional neural network, which belongs to the technical field of airborne depth sounding laser radars, is used for airborne depth sounding laser radar echo signal decomposition, and comprises the following steps: obtaining and preprocessing an original echo sequence, constructing a multi-branch one-dimensional convolutional neural network model, and performing neural network training; and based on the trained multi-branch one-dimensional convolutional neural network, outputting a three-channel probability heat map, performing multi-peak sub-pixel decoding on the three-channel probability heat map, and outputting a peak accurate position, a peak accurate position normalized value and a peak confidence after de-weighting. According to the method, the multi-branch one-dimensional convolutional neural network model is constructed and multi-peak sub-pixel decoding is carried out, so that stable decomposition of full-waveform echoes and high-precision positioning of multi-echo peak values are realized under the conditions of multi-peak superposition, high noise and weak signals, and false detection and false peaks caused by noise are remarkably reduced.

The invention discloses a high-feature-resolution underwater weak target parameter estimation method based on NOMP, and the method comprises the steps: obtaining a receiving array signal, carrying out the preprocessing of the receiving array signal, carrying out the azimuth angle estimation through employing a conventional beam forming algorithm, and extracting a beam output signal in a main target direction; rough search is carried out on discrete time delay and Doppler factor grids, initial parameters of a current most significant path are estimated, continuous optimization is carried out through a Newton iteration method, and optimized path parameters are obtained; constructing a continuous path echo signal according to the received signal, deducting the contribution of the current path to the received signal from the received signal, updating a residual signal, and continuously searching the next path by taking the residual signal as a new input signal until an iteration termination condition is met; and outputting parameter estimation results of all paths. According to the method, high-precision and high-resolution extraction of weak target parameters can be realized in an environment with a low signal-to-noise ratio and remarkable underwater multipath interference.

The invention relates to an ultrasonic phased array full-focusing imaging method for acoustic wave multi-path propagation compensation of a layered composite material, which is characterized by comprising the following steps of: arranging an ultrasonic phased array probe with N array elements on a composite material piece to be detected, obtaining complete echo data by taking each array element as a transmitting array element and taking all array elements as receiving array elements in sequence in a full-matrix acquisition mode; a two-dimensional pixel grid is established in an imaging area, a Monte-Carlo perturbation mechanism used for representing the acoustic wave propagation uncertainty in the layered composite material is introduced into a propagation model for each emission array element-receiving array element-pixel point combination, and the acoustic beam emission direction, the propagation path and the equivalent acoustic velocity are subjected to random perturbation, so that the acoustic wave propagation uncertainty in the layered composite material can be represented. Generating a plurality of equivalent sound wave propagation paths, calculating two-way propagation time of each path, and performing weighted statistics on energy contributions of different paths according to array element sound beam directivity to obtain equivalent propagation time delays of pixel points; and performing delay correction on a full-matrix echo signal by using the equivalent propagation time delay, and performing coherent superposition on signals of all transmitting-receiving array element combinations to realize dynamic focusing of a full-pixel grid, and finally reconstructing an ultrasonic full-focusing imaging image with high resolution and high signal-to-noise ratio. The time delay error caused by propagation path deviation and sound velocity non-uniformity in the layered composite material can be effectively compensated, the focusing precision and spatial resolution of full-focusing imaging are improved, meanwhile, an existing TFM imaging frame does not need to be changed, and the method has good engineering implementability and popularization and application value.

The invention provides an ultrasonic fingerprint chip and an integral clock generation method and device of the ultrasonic fingerprint chip. Appropriate fingerprint pixel units can be selected from a plurality of fingerprint pixel units to serve as first-class pixel units and second-class pixel units, and the first-class pixel units and the second-class pixel units are respectively connected with a first-class detection circuit and a second-class detection circuit. Wherein a first integrator in the first type of detection circuit is sequentially connected with a first comparator, a time delay regulator, a clock dominant frequency duplicator and a frequency dividing circuit; the frequency dividing circuit is connected with the second type detection circuit; a second integrator in the second type detection circuit is connected with an amplification structure; the amplification structure is also connected with a second comparator; and the second comparator is connected with the time delay regulator in the first-class detection circuit. The circuit can automatically generate and obtain the integral clock signal which is matched with the ultrasonic fingerprint echo signal and is high in precision and good in effect, so that the received ultrasonic fingerprint echo signal is precisely processed, and a target signal with high quality is obtained.

The embodiment of the invention relates to the technical field of brain-computer interfaces, in particular to a brain-computer interface module, a digital skull implant and an integration method and related application of the digital skull implant. The digital skull implant comprises a skull prosthesis and a brain-computer interface module, wherein the brain-computer interface module and the skull prosthesis are integrated; the brain-computer interface module comprises an ultrasonic transducer used for sending ultrasonic signals to the brain and collecting brain echo signals. The brain-computer interface module comprises an ultrasonic transducer used for sending ultrasonic signals to the brain and collecting brain echo signals. The brain-computer interface module is configured to be integrated with a skull or a skull prosthesis. In this way, the implantation structure integrating the brain-computer interface module in the skull form can have good mechanical strength and biocompatibility, complete implantation and wireless design can be achieved, and ultrasonic waves penetrate through the skull to conduct precise stimulation on the brain area.

The invention discloses an airborne laser radar sounding data processing method and system, and relates to the technical field of marine surveying and mapping and earth observation, and the method comprises the following steps: collecting original full-waveform data of an airborne laser radar sounding system, the original full-waveform data comprising infrared laser channel data and blue-green laser multichannel data; joint denoising processing is carried out on the original full-waveform data to obtain denoised waveform data, and the joint denoising processing comprises background noise modeling and removing based on machine learning and random noise filtering based on frequency domain low-pass filtering; a collaborative joint denoising strategy is formed by fusing background noise modeling based on machine learning and frequency domain low-pass filtering based on signal-to-noise ratio optimization. According to the method, complex background noise can be accurately estimated and removed, random noise can be adaptively filtered out, weak underwater echo signals are reserved to the maximum extent, and the problem of water depth information loss caused by excessive smoothness is effectively avoided.

The invention provides an electromagnetic ultrasonic bolt stress detection system based on a space-time complementation algorithm, and the system comprises the steps: carrying out the multi-channel ultrasonic signal collection of a to-be-detected bolt, and obtaining a multi-channel echo signal group; performing time-varying attenuation compensation and adaptive entropy weight denoising on the multi-channel echo signal group to obtain a denoised echo signal group; extracting echo time-domain features from the de-noised echo signal group, performing segmented time-frequency feature extraction on the de-noised echo signal group based on a short-time sliding window to obtain echo time-frequency features, and fusing the echo time-domain features and the echo time-frequency features into ultrasonic time-frequency features; performing wave field reconstruction on the de-noised echo signal group to obtain a spatial ultrasonic energy diagram, and extracting ultrasonic spatial features of the spatial ultrasonic energy diagram based on a self-attention map convolutional network; performing correlation detection and space-time complementary modeling on the ultrasonic time-frequency features and the ultrasonic space features to obtain ultrasonic space-time joint features, and performing stress analysis on the ultrasonic space-time joint features to obtain bolt stress data.

The invention relates to the technical field of motor state monitoring, in particular to a motor state monitoring method and system based on data driving, and the method comprises the following steps: synchronously collecting a motor voltage signal amplitude time domain sample and a motor current signal amplitude time domain sample for a power frequency period in a motor operation state; and calculating an instantaneous phase difference between each corresponding sample point to obtain an instantaneous phase difference original data stream of the motor. The method comprises the following steps: synchronously acquiring voltage and current amplitudes during operation of a motor in real time, and calculating an instantaneous phase difference between the two amplitudes to obtain an electromagnetic state original data stream; further executing high-pass filtering and performing spectral analysis to filter interference signals and low-frequency trend influences, and improving the recognition precision and robustness of instantaneous phase difference jitter features; meanwhile, voltage pulses are actively injected into the winding, echo signals are collected, and rapid capturing and positioning of the abnormal state of the winding are achieved through propagation time delay calculation and impedance characteristic construction.

The invention discloses a high-resolution peak value positioning method based on multi-pulse superposition and offset clock cooperation, and belongs to the technical field of laser radar ranging. Aiming at the problems that a traditional laser radar depends on a high-sampling-rate ADC, so that hardware cost is high, power consumption is large, and sampling errors are likely to be caused by echo jitter, the method does not need to replace an existing ADC, and the technical breakthrough is achieved through the following core steps that firstly, the basic sampling rate X Hz and the target equivalent sampling rate improvement multiple N of the ADC are determined; laser pulses are emitted to a target object for N times, during Kth emission, ADC sampling is started by delaying (K-1) / (X * N) seconds, and N groups of echo data with time sequence offset are obtained; performing cross combination on the N groups of data, and constructing an N-time equivalent high-sampling-rate data sequence; repeating the sampling and combining process for S times, and performing alignment superposition and averaging on S groups of data to suppress echo jitter and noise; and estimating initial parameters (amplitude, mean value and standard deviation) of a Gaussian model based on the superposed data, optimizing the parameters through an LM nonlinear optimization algorithm, and finally taking the optimized mean value as a high-precision peak position of an echo signal to realize accurate measurement of the laser flight time. Under the condition of low-sampling-rate hardware, through the collaborative design of clock skew and multi-pulse superposition, the physical limitation of the sampling rate is broken through, low cost, low power consumption and high ranging precision are taken into account, and the method is adaptive to multi-scene application of automatic driving, industrial ranging and the like.

The invention provides an accurate calculation method and system for the axial pretightening force of an ultrasonic bolt, and the method combines a high-order statistic theory with a nonlinear filtering technology, and solves the problem that the measurement precision of a conventional method is insufficient under the conditions of strong noise and nonlinearity. Particle filtering and Kalman filtering are combined, so that the problem that a traditional Kalman filtering method easily causes sensitivity of an initial value of filtering divergence is solved; a double-Gaussian attenuation model is adopted to fit an echo envelope, the problem that a single Gaussian or single index model cannot adapt to envelope distortion caused by stress change is solved, and a nonlinear state space model is established to adapt to nonlinear echo signal characteristics under dynamic stress; gaussian noise is effectively suppressed by using a third-order cumulant cross-correlation algorithm, the time difference resolution in a low signal-to-noise ratio environment is remarkably improved, and the Gaussian noise and asymmetric interference are effectively suppressed.

The invention relates to the technical field of intelligent household appliances and man-machine interaction, and discloses an electric cooker anti-noise voice interaction system based on multi-mode perception and a control method, and the system comprises a multi-mode perception and collection unit which synchronously collects millimeter wave radar echo signals and acoustic signals; the signal preprocessing and feature extraction unit is used for extracting a user physiological vibration signal and a three-dimensional space position vector from the radar signal and extracting an acoustic energy envelope and a sound source direction vector from the acoustic signal; the time-space consistency verification unit and the voice gating and recognition unit are used for carrying out time synchronization verification by calculating the correlation between the physiological vibration signal and the acoustic energy envelope, and distinguishing real human voice from an environment false trigger source; meanwhile, space consistency verification is carried out by comparing the user direction of radar positioning with the sound source direction of acoustic positioning, so that non-target human voice interference is eliminated. According to the invention, the anti-interference capability and reliability of voice interaction in a real home environment are improved through double verification on a physical level.

The invention provides a bolt monitoring method and device based on electromagnetic ultrasound and a 3D phased array, and relates to the technical field of bolt monitoring. A two-stage detection process is adopted, firstly, preliminary screening is conducted through electromagnetic ultrasound, an electromagnetic ultrasound device excites ultrasonic waves and receives echo signals, and according to the relation between the intensity of the echo signals and the passing time, a 3D phased array is obtained; constructing a time-intensity curve of each detection section, and rapidly screening candidate sections with abnormal echo signals; the method comprises the following steps: performing comprehensive three-dimensional space scanning on a candidate section through a 3D phased array technology, performing accurate scanning in a three-dimensional space through focused ultrasonic waves to obtain an ultrasonic echo signal of each space point, extracting the ultrasonic echo signal intensity of each space point and calculating a standardized deviation to mark an abnormal point exceeding a set threshold value, and finally marking the abnormal point. And through spatial aggregation analysis, a plurality of abnormal points are aggregated into an abnormal region, so that the defect positioning precision is further improved.

The embodiment of the invention discloses a laser ranging method and device, laser ranging equipment and a storage medium. The method is based on laser ranging equipment, and the ranging equipment comprises a control unit, a laser and a sampling unit. The method comprises the following steps: performing phase delay control and delay output control on the laser through the control unit, so that the laser transmits a plurality of laser pulse signals to a measured target in sequence according to a preset delay step length after phase delay; the laser pulse signal is reflected by the measured target to form an echo signal; sampling the plurality of echo signals through the sampling unit to obtain a plurality of groups of first sampling data; each echo signal corresponds to a group of first sampling data; and through the control unit, based on the multiple groups of first sampling data, determining the detection distance of the detected target. According to the invention, the precision of laser ranging is effectively improved in a low-cost manner.

The invention relates to the technical field of medical treatment, in particular to ultrasonic equipment and an image processing method. In the embodiment of the invention, an ultrasonic image of a detection part is generated according to an ultrasonic echo signal which is received by an ultrasonic probe and is reflected by the detection part; feature extraction is carried out on the ultrasonic images through encoders in multiple layers of segmentation units contained in the segmentation network; processing the multiple groups of target object structure features output by the encoder in the multi-layer segmentation unit through the decoder in the multi-layer segmentation unit to obtain a segmentation result of the target object structure in the ultrasonic image; and performing partition processing on the ultrasonic image according to a segmentation result, and performing fuzzy enhancement processing on a partition critical region to obtain a processed ultrasonic image.

The embodiment of the invention relates to the technical field of battery manufacturing, and discloses a battery lithium precipitation online detection method, electronic equipment and a storage medium. The method comprises the following steps: acquiring an ultrasonic echo signal in a battery formation process; filtering the ultrasonic echo signal to obtain a target signal; the filtering processing is used for filtering signal components in a preset interference frequency band range generated by bubble disturbance in the formation process, or extracting signal components in a preset harmonic frequency band range of the ultrasonic excitation signals; the preset interference frequency band range and the preset harmonic frequency band range do not have an overlapping range; based on the target signal, extracting a time domain feature vector, a frequency domain feature vector and an attenuation coefficient feature vector to construct a feature matrix; and inputting the characteristic matrix into a lithium precipitation determination model, and outputting a lithium precipitation determination result. The problems that in the prior art, the lithium precipitation phenomenon in the formation process cannot be monitored in real time, the detection signal-to-noise ratio is low due to bubble disturbance, and lithium precipitation is difficult to accurately judge through single parameter detection are solved.

The invention relates to the technical field of radar echo denoising, in particular to a radar echo signal filtering noise self-adaptive suppression method and a radar echo signal filtering noise self-adaptive suppression system. Acquiring radar station position and beam pointing data, and synchronously acquiring forest vegetation data and environment interference data of a beam pointing target area to form radar environment data; the radar environment data are identified through the multi-band decision model, and multi-modal waveform parameters are obtained; based on the multi-modal waveform parameters, radar equipment is controlled to perform periodic detection on the target area, and radar echo data are obtained; the method comprises the steps of identifying radar echo data and radar environment data, extracting dynamic spectrum characteristics in the radar echo data, performing clutter suppression processing on the dynamic spectrum characteristics by using the radar environment data, calculating the confidence probability that an early fire exists in a target area, and executing space-time consistency joint verification; according to the invention, fire early warning is carried out through the confidence probability of the fire.

The invention provides a radar monitoring method and device, electronic equipment and a storage medium, and relates to the technical field of radars. The method comprises the following steps: identifying whether the environment change of a preset area in a first time period meets a radar adjustment triggering condition or not; responding to the condition that the radar adjustment triggering condition is met, and obtaining echo signal data of the radar in a first time period in the preset area; and adjusting the working parameters of the radar according to the echo signal data, adjusting the target monitoring strategy of the radar according to the target condition in the preset area, controlling the adjusted radar to carry out target monitoring in a second time period, and obtaining radar monitoring data. The recognition of the environment change of the preset area can effectively trigger the parameter adjustment of the radar, enables the working parameters of the radar to be closely related to the environment and the radar echo signal, avoids the adoption of a single working parameter, intelligently switches the monitoring strategy according to the target condition, avoids the resource waste, and improves the target monitoring and tracking accuracy.

The invention belongs to the field of near-inertia internal wave modeling, and particularly relates to a near-inertia internal wave modeling method based on a reverse echo observation array, which comprises the following steps: arranging a reverse echo measurement device array in an observation area, and acquiring echo signals from the seabed to the sea surface; performing data cleaning and band-pass filtering on the signals, and extracting near-inertia internal wave signals; calculating the depth and the relative vorticity of a mixed layer by combining historical temperature-salinity data; calculating a wind input energy flux by using the wind stress data; calculating a net level energy flux by adopting a boundary integration method; judging whether the boundary energy flux influence is smaller than a threshold value or not, and if not, adjusting array layout; and finally establishing a multivariable linear model containing wind energy input, mixed layer depth, relative vorticity and energy flux. According to the method, the temporal-spatial resolution and prediction precision of near-inertia internal wave modeling are effectively improved, the problems that in a traditional method, the boundary effect is remarkable, and multi-factor comprehensive modeling is insufficient are solved, and the method is suitable for long-term efficient monitoring of a large-range marine environment.

The invention is suitable for the technical field of ultrasonic imaging, and provides a three-dimensional ultrasonic imaging method and system, computer equipment and a computer program product, and the method comprises the steps: transmitting a multi-angle composite plane wave sequence to a target region through a one-dimensional ultrasonic array with the frequency gradual change characteristic in the elevation direction, and receiving a reflected echo signal sequence, generating a target gray-scale image sequence corresponding to the echo signal sequence, acquiring coordinates of each ultrasonic contrast agent microbubble in each frame of gray-scale image, generating a two-dimensional coordinate set, calculating the axial half-peak full width of a point spread function region of each ultrasonic contrast agent microbubble, and calculating the axial half-peak full width of the point spread function region of each ultrasonic contrast agent microbubble; determining the coordinate of each ultrasonic contrast agent microbubble in the elevation angle direction based on the axial half-peak full width, generating an elevation angle coordinate set, and generating a three-dimensional contrast image of the target area based on the two-dimensional coordinate set and the elevation angle coordinate set. According to the method provided by the invention, the problem that three-dimensional ultrasonic imaging is limited by the surface ultrasonic array can be solved, and low-cost, simple and efficient three-dimensional ultrasonic imaging based on the one-dimensional ultrasonic array is realized.

The invention relates to the technical field of elevators, in particular to an elevator traction machine vibration reconstruction method and system based on a millimeter wave radar. The method comprises the steps that in the elevator running process, echo signals of a millimeter wave radar are collected; firstly, a continuous phase sequence is obtained through echo signals; generating a rough vibration signal in a radar sight line direction according to a phase-displacement mapping relation, calculating a physical confidence coefficient, constructing a dual-channel physical prior tensor, synthesizing a three-axis reconstruction vibration signal tensor by using a PGGN physical gating generation network, and finally performing physical rationality evaluation on the three-axis reconstruction vibration signal tensor. And adjusting the gating parameters of the anisotropic physical gating unit according to the evaluation result. On the premise that a contact sensor does not need to be installed on the surface of the traction machine for a long time, physical consistency reconstruction of the three-axis vibration signals of the elevator traction machine is achieved.

The invention discloses a millimeter wave barrier gate radar multipath interference suppression method and device, and belongs to the field of millimeter wave radar signal processing. The method comprises the following steps: S1, generating an RD image by an echo signal, and executing 2D-CFAR detection to obtain a candidate target unit; s2, eliminating ground reflection (GB) through an RD domain multipath sensitive area mask (MVZ); s3, converting the candidate target unit into a Cartesian coordinate system point cloud; s4, through point cloud domain mirror symmetry verification, removing a pole side mirror image (PSR); s5, clustering the reserved point cloud to obtain a target cluster; s6, through vehicle contour modeling, constructing a rear suppression area to reject vehicle-brake box multiple reflections (VBR); and S7, outputting effective target information after tracking processing. The device comprises a radar radio frequency front end, a signal processing unit, a point cloud post-processing unit, a tracking and control unit and an embedded processing platform. Through a three-layer cooperative inhibition mechanism, three types of main multipath interferences of a barrier gate scene are comprehensively covered, the detection accuracy is improved, static targets are prevented from being mistakenly eliminated, the engineering practicability is high, and safe and reliable barrier gate control can be ensured.

The invention provides an ultrasonic fingerprint pixel array circuit and an ultrasonic fingerprint data processing method. Based on the ultrasonic fingerprint pixel array circuit, a corresponding fingerprint pixel unit can be determined in a first position area of the ultrasonic fingerprint pixel array circuit and transformed into a first detection unit capable of locally generating an integral clock signal; meanwhile, a corresponding fingerprint pixel unit determined in a second position area of the ultrasonic fingerprint pixel array circuit is transformed into a second detection unit which can be matched with the first detection unit to carry out self-adaptive feedback adjustment on the generated integral clock signal. Therefore, the improved ultrasonic fingerprint pixel array circuit capable of automatically generating the integral clock signal matched with the ultrasonic fingerprint echo signal can be constructed by fully utilizing the original circuit structure of the ultrasonic fingerprint pixel array circuit at relatively low cost. Therefore, the ultrasonic fingerprint pixel array circuit can be utilized to efficiently and locally generate an integral clock signal with a better effect to process an ultrasonic fingerprint echo signal.

The invention provides a complex mine radar adaptive anti-interference detection method based on reinforcement learning. Relates to the technical field of mine safety monitoring and intelligent sensing. Multi-domain features are extracted based on the echo signals; constructing a reinforcement learning state space design composite reward function; an incomplete information game adversarial reinforcement learning algorithm is introduced to carry out iterative training on the radar strategy network; selecting and executing the action of the initial anti-interference strategy according to the current environment state in the actual detection process; on-line fine tuning and updating are carried out on parameters of the radar strategy network based on the real-time feedback data; performing performance evaluation; and if the preset performance threshold is not met, adjusting the weight of the composite reward function and the radar strategy network parameters, and performing iterative optimization until an optimal anti-interference strategy is obtained. According to the invention, multi-source interference adaptive suppression and stable detection are realized, the target detection precision is improved, the false alarm rate is reduced, and the environmental adaptability and long-term robustness of the system in unmanned tunneling, intelligent transportation and safety monitoring scenes are enhanced.

The invention relates to the technical field of meteorological observation, in particular to a parameter measurement method and device based on a dual-band mode, equipment and a storage medium. Generating a dual-band excitation signal according to the aligned sine wave signal; analyzing the echo signal according to a preset gain coefficient, a time difference method and a preset attitude compensation formula to obtain a reconstructed quasi-unipolar pulse, an actual wind speed, a horizontal wind direction angle, a pitch angle, a three-dimensional wind speed vector, a roll angle and a real wind direction; acquiring real-time air pressure, and correcting a preset standard state sound velocity according to a preset sound velocity correction formula and the real-time air pressure to obtain a corrected sound velocity; according to the scheme, a dual-band signal attached to a medium is generated, after efficient transmission analysis, high-resolution pulses and multi-dimensional wind field parameters are obtained by means of gain, a time difference method, attitude compensation and the like, the sound velocity is corrected in combination with air pressure, comprehensive, accurate and rapid updating of data are considered, and the measurement reliability is improved.

The invention relates to the technical field of laser radars, in particular to a laser radar near-field saturation suppression method and device based on signal splicing. The method comprises the following steps: transmitting a pulse laser beam and receiving a scattering echo signal, dividing the echo signal into a transmission light signal and a reflection light signal through an intensity beam splitter prism, and respectively obtaining a far-field channel photon profile and a near-field channel photon profile through the transmission light signal and the reflection light signal; fusing and splicing the far-field channel photon profile and the near-field channel photon profile to obtain a corrected distance square signal profile; and performing atmospheric detection by using a laser radar system, and inverting atmospheric parameters by correcting a distance square signal profile. Meanwhile, the invention discloses a device for executing the method, by adopting the laser radar near-field saturation suppression method and device based on signal splicing, the problem of near-field signal saturation of a high-power laser radar can be effectively solved, and the overall performance index of the laser radar is greatly improved while the detection precision is guaranteed.

The invention discloses a marine pipeline leakage point and oil leakage accurate detection system and method, a focused ultrasonic detection module of the system emits ultrasonic focused sound beams to a pipeline wall, a signal acquisition and analysis module is used for receiving an ultrasonic echo signal and performing feature extraction, a fluid noise elimination and compensation module filters and corrects the signal, and a detection module is used for detecting the leakage point and oil leakage of a marine pipeline. The sensor array attached to the pipe wall can monitor the temperature, pressure and environment change of the marine pipeline in real time, the control and feedback unit automatically adjusts the focus depth and acoustic beam energy according to an analysis result, fine scanning and enhanced detection of a target area are achieved, and finally leakage point space coordinates and leakage rate estimated values are output. The system can stably operate for a long time in a high-noise and high-pressure marine environment, is high in detection sensitivity and strong in anti-interference capability, can achieve millimeter-level leakage point positioning precision, and is suitable for online health monitoring and intelligent safety management of marine oil and gas conveying pipelines, offshore wind power cooling systems and deep sea energy channels.

The invention discloses an electromagnet electromagnetic ultrasonic thickness measurement method and system based on an anti-collision unmanned aerial vehicle, and relates to the field of nondestructive testing, and the method comprises the steps: obtaining the coordinates of a preset detection point, controlling the flight path of the unmanned aerial vehicle, and determining the safety position information of the unmanned aerial vehicle located near the preset detection point; the motion of the multi-degree-of-freedom mechanical arm is controlled through a servo motor and an encoder, contact impact is reduced through a buffer mechanism, and attitude information of the electromagnetic ultrasonic sensor unit aligned with the surface of the to-be-detected object is determined; the magnetic attraction force is adjusted in real time through a closed-loop feedback system, and a linear frequency modulation pulse is adopted as an excitation signal to obtain an echo signal containing acoustic-electromagnetic coupling interference; acoustic-electromagnetic coupling interference is corrected and processed in an auxiliary mode through a multi-mode signal separation algorithm and machine learning, and final thickness data is obtained; and transmitting the final thickness data to a cloud platform, and providing a data visualization interface and an alarm function on the cloud platform. According to the invention, accurate thickness detection and remote monitoring of a complex structure material can be realized.