67 results about "Waveform matching" patented technology

The invention relates to the technical field of artificial intelligence, and discloses an AI-based composite insulator internal defect ultrasonic detection method, which comprises a multi-mode ultrasonic probe array module, a signal preprocessing module, an AI defect analysis module, a dynamic parameter optimization module, an edge calculation module and a visual report module, the method comprises the following steps: acquiring a full-dimensional signal through a multi-modal ultrasonic probe array, and inputting the full-dimensional signal into a deep space-time convolutional neural network for defect recognition after adaptive noise reduction and feature fusion; the detection precision is improved by combining dynamic waveform matching and multi-physics coupling analysis; model lightweight and real-time processing are realized by adopting transfer learning and edge calculation. The system integrates the functions of parameter adaptive optimization, three-dimensional visualization and Internet of Things cooperation, solves the problems of low efficiency and high false detection rate of a traditional detection method, and improves the intelligent level and engineering applicability of composite insulator defect detection.

The invention provides a transient recording fault intelligent judgment method combining waveform matching and cloud edge cooperation, and relates to the technical field of fault diagnosis. Comprising the following steps: collecting global topological information and fault judgment reference parameters of a master station synchronous power system, and outputting initial transient recording data; carrying out preprocessing and feature extraction on the initial transient recording data, realizing edge side layered fault detection by adopting an improved waveform matching algorithm, and outputting multi-layer fault information; constructing a global fault judgment model, updating the global fault judgment model through the hierarchical model, and optimizing the fault judgment model; multi-level fault information is input into the optimized fault judgment model for accurate fault judgment, and graded response measures are taken for real-time judgment results with different confidence degrees; according to the invention, through deep fusion and system-level optimization of multiple technical streams, a transient recording fault intelligent judgment system integrating real-time performance and accuracy is created.

The invention relates to a wireless power transmission system parameter identification method based on a time domain differential model, and belongs to the technical field of wireless power transmission system control. The method comprises the following steps: establishing a parameterized time domain dynamic physical model; collecting system dynamic response data; constructing an optimization target based on a time domain residual error; and performing optimal parameter estimation based on iterative optimization. According to the method, a time domain dynamic physical model of a wireless power transmission system is constructed, and unknown parameters are solved through an iterative optimization algorithm with a minimum waveform matching error as a target. According to the algorithm, in an iteration process, a physical model is called to carry out forward differential equation solution, a time domain residual error between a model solution current and a real measurement current is used to drive a parameter estimation value to converge, and finally high-precision and high-robustness wireless power transmission system parameter identification under any working frequency is realized. The problem that in the prior art, due to static stiffness and sensitivity to waveform distortion of a theoretical model, the identification precision is insufficient is effectively solved.

The invention discloses a safety maintenance method suitable for a vehicle-mounted intelligent cabin, and relates to the technical field of intelligent cabin safety maintenance, and the method comprises the following steps: extracting an original echo waveform sequence of a current period and a previous period in the same space region based on original echo data collected in a continuous work period of a vehicle-mounted millimeter wave radar system; according to the method, through cross-period echo waveform matching and multi-dimensional feature fusion, a historical signal interference trend is accurately quantified, an echo superposition index is dynamically output, an identification strategy for an extremely-low-speed target is adjusted, and reconfirmation is carried out only when actual space displacement of the target occurs. The method effectively reduces the misrecognition and false alarm rate of a radar system to a static or quasi-static target, avoids the false triggering of ACC, FCW, AEB and other functions, remarkably improves the stability and safety of a vehicle-mounted sensing system in a complex traffic environment, and has good engineering practicability and popularization value.

The invention provides an electricity stealing detection method based on line loss, non-intrusive monitoring and dynamic time warping, and the method comprises the following steps: analyzing the electricity consumption of a user in a power distribution area with an abnormal daily line loss rate, and generating the line loss evidence of a suspected user; comparing the load data of the suspected user obtained based on the non-intrusive load monitoring with the power consumption behavior of the suspected user, and generating a contradictory evidence that the power consumption behavior has contradictions; based on the current waveform library of the electricity stealing behaviors, analyzing the similarity between the user current waveform of the suspected user and an electricity stealing waveform template recorded in the current waveform library, and generating waveform matching evidence; and based on the line loss evidence, the contradiction evidence and the waveform matching evidence, weighting and fusing to obtain the comprehensive score of the suspected user, and screening the target electricity stealing user. The electricity larceny detection method based on line loss, non-intrusive monitoring and dynamic time warping has the advantages of high efficiency, high precision, low cost and strong interference capability, and can effectively identify electricity larceny users.

The invention discloses a laser radar multi-target ranging method and system based on adaptive waveform matching, and relates to the technical field of laser ranging, and the technical scheme is characterized in that the adaptive waveform matching mechanism proposed by the invention dynamically adjusts convolution kernel sampling points through a deformable convolutional network (DCN), and the adaptive waveform matching is realized; various nonlinear waveform distortions caused by electric field interference and complex target reflection characteristics can be actively adapted, and a customized matching template is generated for each input waveform. Equivalently, the system is endowed with the capability of eliminating counterfeit and keeping true in a strong electromagnetic interference environment, so that the robustness to special working conditions of ultra-high voltage hot-line work is fundamentally improved.

The invention relates to the technical field of hemodialysis pathway monitoring, and particularly discloses a hemodialysis pathway stenosis early warning system and method based on voiceprint recognition and compression waveform matching. The system comprises an integrated acoustic-pressure control attachment module, a signal acquisition and control unit, a feature extraction module, an individual template library and a risk judgment module. By collecting blood flow pulsation sound and turbulence voiceprint in real time and combining rebound sound response induced by controllable external pressure, various dynamic parameters are extracted and compared with an individual acoustic template of a patient, and the risk level of passage stenosis is judged. The system has the advantages of being non-invasive, wearable, active in induction and individualized in recognition, and is suitable for early warning of passage stenosis of clinical dialysis patients.

The invention discloses a maneuvering target long-time coherent accumulation method, system and device and a medium, and relates to the technical field of radar signal processing, and the method comprises the steps: enabling a plane array to achieve the complete airspace coverage in the azimuth angle range dimension through the introduction of FDA; according to the planar array, three-dimensional information of a target is utilized, so that the target can obtain information with higher dimensionality than that of coherent FDA. Then, an azimuth angle-pitch angle-distance three-dimensional matching filter is designed, and rapid waveform matching is realized. The method aims at the influence of a maneuvering target phase-coherent accumulation process. And finally, compensating range migration and Doppler frequency migration in a high-altitude maneuvering target detection process by adopting a second-order Keysone transform-LVD algorithm to realize coherent accumulation of the target. The invention not only provides a novel radar array combining PA and FDA, but also is applied to the field of target detection, especially for complex detection conditions such as high-altitude maneuvering targets.

The present application relates to oil and gas geophysical exploration technology field, more particularly, it relates to a kind of P-S wave data matching method based on wavelet compression, it includes the following steps: S1: PS wave seismic data is converted to compress to PP time domain;Extract seismic PP wavelet, PS wavelet, PP wavelet spectrum and PS wavelet spectrum;S2: introduce frequency variable scale conversion factor, utilize Fourier transform method to carry out wavelet compression to PS wavelet;S3: obtain filter according to PS wavelet and new PS wavelet;S4: utilize filter to carry out filter processing to PS wave seismic data after time domain conversion;S5: carry out waveform matching.The present application is based on the pre-matching in time domain, introduce frequency variable scale conversion factor, utilize the Fourier scale conversion method of frequency variable to carry out compression to PS wavelet.Then filter is designed using regularization method to carry out filter processing to original PS wave seismic record, can improve the similarity of PP, PS wave both seismic record waveform, improve the precision of final matching.

The invention relates to the technical field of track characteristic data analysis, and discloses a track mileage calibration method and system based on track geometric dynamic and static waveform matching, the system comprises a track geometric waveform parameter processing module, a track mileage calibration analysis module and a track mileage calibration execution module; based on numerical analysis science, track static and dynamic waveform sampling frequency consistency is detected, and meanwhile, an interpolation algorithm is combined to carry out track geometric static waveform sampling frequency intelligent adjustment, so that track geometric waveform sampling frequency autonomous identification and correction in track geometric dynamic waveform mileage calibration are realized; track mileage calibration algorithm type fine matching is carried out on the basis of the static and dynamic waveform combination information of the track and the static and dynamic waveform combination information of the standard track corresponding to different track mileage calibration algorithms based on big data storage in combination with an artificial intelligence bionic algorithm, and the precision of track geometric dynamic waveform mileage calibration is improved.

The specification discloses a multi-antenna array LCMV anti-interference method based on adaptive noise protection, relates to the technical field of anti-interference, and comprises the following steps: performing LCMV anti-interference algorithm processing, weighting and communication waveform matching processing on a received signal to obtain a first peak amplitude, a second peak amplitude and a second signal-to-interference-and-noise ratio; determining whether to increase noise power based on the first peak amplitude and the second peak amplitude; if it is determined to increase the noise power, target noise is added; performing LCMV anti-interference algorithm processing and communication waveform matching processing on the noise-added signal to obtain a new second signal-to-interference-and-noise ratio and a corresponding weight; and determining whether the noise power of the noise-added signal reaches an upper limit; if yes, the weight corresponding to the maximum value in the second signal-to-interference-and-noise ratios is taken as an optimal weight, and adaptive anti-interference is completed, so as to solve the problem that, in the prior art, a signal suppression interference method for an unknown signal wave direction reduces the output power of a communication signal while suppressing an interference signal, thereby resulting in limited anti-interference capability.

This invention discloses a high-repetition-rate interpolation amplification system, relating to the field of high-power laser technology. It employs a three-stage architecture of time-domain separation, parallel amplification, and polarization beam combining. The core idea is to distribute the thermal load and suppress the accumulation of nonlinear effects by interleaving pulses in the time domain, and then synergistically improve the overall performance of the system through incoherent polarization beam combining. Compared with traditional coherent combining schemes, this invention completely eliminates the dependence on precise phase control, extremely high synchronization accuracy, and strict waveform matching, thus providing a highly promising technical path for synchronously achieving high repetition rate, high single-pulse energy, and high average power laser output.

The invention discloses an electrocardiogram ventricular escape real-time judgment method and system, relates to the technical field of electrocardiograms, solves the problem of lack of multi-dimensional analysis and dynamic characteristic verification of electrocardiogram waveforms, and aims at solving the problem that a time period in which waveform abnormity really exists is focused through continuous analysis of fluctuation points of a to-be-recognized section, so that the accuracy of the electrocardiogram ventricular escape real-time judgment is improved. A symmetric space vector range of a normal P wave is used as a reference, whether a to-be-analyzed waveform contains the P wave is visually judged through matching of the form and the position of a to-be-verified vector, missed judgment caused by low amplitude of the P wave or overlapping of the P wave in a T wave is avoided, and the accuracy of the judgment is improved. A complete analysis chain from electrocardiosignals to clinical diagnosis is constructed through a four-layer logic architecture of pacing point positioning, feature waveform matching, abnormal time capturing and escape pacing mechanism verification, high-precision recognition of ventricular escape pacing is achieved, and the accuracy of ventricular escape pacing recognition is improved through deep fusion of a physiological mechanism and an algorithm. And an interpretable and traceable technical path is provided for automatic electrocardio diagnosis.

The invention relates to the technical field of data analysis, in particular to a fault signal phase synchronization method and device based on a data fusion algorithm. The method comprises the following steps: preprocessing a collected bearing operation data signal; the preprocessed data signals are fused, and reliable phase offset estimation of each operation period and position is calculated; the fused data signals are processed through waveform matching and a phase correction algorithm, phase deviation caused by driving speed and load changes is eliminated, and data signals after phase synchronization are obtained; and based on the data signals after phase synchronization, bearing fault features are extracted, and a phase consistency coefficient is calculated. According to the technical scheme, the identifiability of fault signal characteristics is improved through multi-sensor data fusion and an advanced phase synchronization algorithm, and an important technical means is provided for fault diagnosis of rotating machinery.

The invention relates to an ultrasonic wave flight time measuring method and device, electronic equipment and a readable medium, and the method comprises the steps: applying a driving signal to a first transducer, enabling the first transducer to emit ultrasonic waves, and starting a timer to collect a transmitted waveform sequence; calculating the minimum flight time as a coarse value based on the distance between the transducers and the resultant velocity of the sound velocity and the wind speed; after the time is over, collecting a receiving waveform sequence of which the count value and the amplitude are within a preset range; transmitting and receiving waveforms are analyzed through waveform matching, a time offset value is obtained, and a coarse value is corrected to obtain first absolute flight time; switching a transmitting-receiving transducer, and similarly obtaining second absolute flight time; and matching the two received waveforms, calculating the offset time for correcting the difference between the two minimum flight times, and finally obtaining the high-precision relative flight time. The problem that the measurement precision and the operation efficiency cannot be considered when the ultrasonic flight time is measured is solved.

According to the complex closed space global low-frequency noise reduction method based on the active micro-perforated plate sound absorber, an active control technology is introduced into a small-size MPPA, the low-frequency acoustic reactance of a cavity of the MPPA is reduced by offsetting the sound field of the cavity of the MPPA, and the sound energy dissipation performance of the MPP is improved by breaking the waveform matching of the sound fields on the two sides of the MPP; the noise of the whole complex closed space is reduced in an active sound absorption mode, and meanwhile the problem that the noise reduction performance of some medium-high frequency resonance frequency points is weak due to coupling of a closed space sound field and an MPPA cavity sound field can be solved. The invested active control measure is low in cost, and the low-frequency noise reduction performance of the complex closed space is remarkable, so that the method has important engineering application value.

The invention discloses a microseism Gaussian particle swarm differential evolution positioning method and device. The method comprises the following steps: carrying out parameter initialization setting based on a particle swarm; aiming at any particle in the particle swarm, calculating to obtain theoretical travel time from the particle to each detector; performing waveform superposition on the particles, and obtaining fitness values of the particles according to the waveform superposition and theoretical travel time of the particles to each detector; according to the individual optimal position of the particle and the global optimal position in the population, updating the speed and the position of the particle by using a first random number and a second random number generated by a preset Gaussian probability density function, and executing variation, crossover and selection operations in differential evolution by taking the global optimal particle determined after updating processing as a base vector; judging whether a preset stop condition is met or not; if not, waveform matching superposition, particle updating and differential evolution are repeated until a preset stop condition is met; and determining the estimated position of the seismic source according to the position of the global optimal particle.

A signal generation device and method, an analog-digital hybrid test board, and a test machine. The signal generation device comprises: an arbitrary waveform generator, a read / write control module, an external clock chip, and a storage device; the external clock chip is configured to output a fixed-frequency sampling clock to a digital-to-analog conversion device; the read / write control module is connected to the arbitrary waveform generator and the storage device, and is configured to read an original waveform from the storage device on the basis of a received read request instruction, and return the read original waveform to the arbitrary waveform generator; and the arbitrary waveform generator is configured to perform resampling processing on the received original waveform to generate a reconstructed waveform matching the frequency of the sampling clock, wherein the reconstructed waveform is used by the digital-to-analog conversion device to perform digital-to-analog conversion on the basis of the sampling clock outputted by the external clock chip.

This application provides a processor performance analysis method, apparatus, electronic device, and storage medium. This solution is applicable to performance analysis of various processors, including those with CISC instruction sets, RISC reduced instruction sets (especially RISC-V), or VLIM instruction set architectures, such as CPUs, IoT chips, and audio / video chips. The processor performance analysis method includes: acquiring waveform data generated during processor simulation verification; processing the waveform data according to pre-set waveform matching rules to obtain processor event information and processor behavior information; and generating interactive graphs for processor performance analysis based on the processor event information and the processor behavior information. This solution can improve the efficiency of processor performance analysis.

The invention provides a sound synchronization method and system among multiple devices, and belongs to the technical field of audio synchronization, and the method comprises the following steps: waveform capture: employing an audio collection device to collect audio waveforms output by each device; waveform identification: carrying out feature extraction on the collected waveforms, and carrying out waveform classification based on the extracted features; waveform matching: comparing the target waveform of the to-be-synchronized equipment with the reference waveform, and determining the time offset of the target waveform and the reference waveform; waveform coupling; and dynamically correcting. Synchronization is realized through five steps of waveform acquisition, identification, matching, coupling and dynamic correction: high-sensitivity waveform acquisition, feature extraction and machine learning classification, offset determination through cross-correlation algorithm matching, phase locking adjustment delay establishment, and dynamic correction in combination with environmental parameter monitoring and sound velocity prediction. The system comprises an audio acquisition, processing and control module, can eliminate sound transmission time difference, and ensures that audiences can obtain unified hearing feeling at any position.

The present application relates to the technical field of marine ecological environment analysis, and discloses a marine ecological environment analysis method and system based on big data, which comprises the following steps: obtaining environment monitoring and management object working condition time series data, determining a transmission lag time window based on flow field transmission logic; calculating cross-correlation coefficients in the window, and if they fall into a gray verification interval, generating a pseudo-random working condition control sequence orthogonal to the background main frequency; driving the management object to perform irregular actions through an administrative interface, calculating the local waveform matching degree of the environment data and the sequence; and determining responsibility and generating a punishment instruction when the threshold is exceeded. The system comprises a data acquisition and space-time mapping module, a cross-correlation calculation module, an active attribution module, and a fingerprint verification and decision module. Through the active pseudo-random disturbance and frequency domain orthogonal verification mechanism, the present application realizes exclusive locking of the responsible subject under complex hydrological environment, and solves the attribution problem that passive monitoring is difficult to distinguish between natural background fluctuations and human emissions.

An inverter circuit includes at least three output terminals, a first input terminal, a second input terminal, and at least three series bodies. A total switching duration and a one-phase fixed duration are present within a single cycle of AC output. The waveform of each phase of an output voltage is such that a shared offset wave is deducted from a sinusoidal waveform. The waveform of the offset wave matches one phase of the sinusoidal waveform, or matches a waveform obtained by shifting the one phase of the sinusoidal waveform in the amplitude direction, during the one-phase fixed duration. During switching between the total switching duration and the one-phase fixed duration, the inclination of the waveform of the offset wave either continuously changes or remains fixed.

The application provides a low signal-to-noise ratio signal processing method and device based on multi-symbol coherent waveform matching, and relates to the technical field of wireless signal communication. The method comprises the following steps: converting an original template for performing waveform matching on a spread spectrum signal of a wireless local area network signal into a waveform template corresponding to an orthogonal frequency division multiplexing system; performing cyclic cross-correlation processing on the spread spectrum signal sent after being modulated by the orthogonal frequency division multiplexing system according to the waveform template to obtain a corresponding frequency domain waveform matching result; performing multi-symbol coherent waveform matching on the frequency domain waveform matching result in the time dimension to obtain a multi-symbol waveform matching result; and performing threshold judgment on the multi-symbol waveform matching result to obtain a signal demodulation result corresponding to the spread spectrum signal. Through the application, the defects that the orthogonal frequency division multiplexing system processes traditional wireless local area network waveform signals and the signal-to-noise ratio is lower than a demodulation threshold due to path loss in long-distance transmission are overcome.

The application discloses a kind of triad array cross eye robust angle deception methods, solve the deception angle of linear array cross eye model is not accurate, unstable, angle coverage range is small, realize has: construct interference triad array angle deception model;Through waveform matching constraint and beam pointing constraint to establish respective constraint equation;Establish the joint equation of waveform and beam;Optimization to complex weight vector of joint equation, realize robust angle deception.The triad array angle deception model of the application arranges triad array at the same plane of interference party in the far field of tracking antenna, makes the weighted signal received by tracking antenna robustly deviate from the preset false target position by two kinds of constraints, so that complex weighted signal and false target geometric position signal are consistent;Optimization process, only one parameter is required to obtain the optimum, high efficiency, short calculation time, easy to implement in engineering;Robustness is high, and angle coverage range is large, is used in the angle deception interference field of electronic countermeasure.

The invention discloses a GUI display method and device for a digital waveform, a medium and a product, and the method comprises the steps: responding to a request for displaying a target digital waveform in a target display coordinate system in a GUI, and obtaining a time window matched with the target digital waveform and a pixel window matched with a time coordinate axis in the target display coordinate system; and when determining that the target digital waveform cannot be completely drawn in the target display coordinate system according to the time window and the pixel window, calculating a digital waveform value set corresponding to each pixel point in the time coordinate axis. And according to the digital waveform value set corresponding to each pixel point in the time coordinate axis, drawing in a target display coordinate system in the GUI to obtain a target digital waveform. And the first independent right is achieved. According to the technical scheme, the target digital waveform value can be sampled and drawn according to the target display coordinate system, the digital waveform scaling operation efficiency is remarkably improved, and the chip simulation digital waveform debugging convenience is improved.

The application relates to the technical field of artificial intelligence, and discloses an AI-based composite insulator internal defect ultrasonic detection method, which comprises a multi-modal ultrasonic probe array module, a signal preprocessing module, an AI defect analysis module, a dynamic parameter optimization module, an edge computing module and a visual report module. Full-dimensional signals are collected through the multi-modal ultrasonic probe array, input into a deep space-time convolutional neural network for defect identification after adaptive noise reduction and feature fusion; the detection accuracy is improved through dynamic waveform matching and multi-physical field coupling analysis; and model lightening and real-time processing are realized through transfer learning and edge computing. The system integrates parameter adaptive optimization, three-dimensional visualization and Internet of Things collaborative functions, solves the problems of low efficiency and high false detection rate of traditional detection methods, and improves the intelligent level and engineering applicability of composite insulator defect detection.

A kind of flexible HVDC transmission line single-ended protection method based on waveform matching, its steps include: establishing traveling wave expression general formula, and double distinguishing fault type, then generating matching waveform based on distinguishing fault type. Multiple fault type criteria are constructed based on matching waveform;Collect the traveling wave of line mode voltage under fault state, and determine the real-time fault type by fault type criterion. The system informs the protection device to take corresponding protection action based on real-time fault type. The present application constructs accurate matching waveform based on double distinguishing, and constructs auxiliary criterion using the waveform characteristics of matching waveform, so that the protection can accurately identify different fault types, the protection has no dead zone, and the protection has strong reliability;And all criteria of the protection method are judged based on the characteristic quantity of waveform, the method is easy to implement, and has good engineering application value.

This invention discloses a method and system for underground vehicle speed measurement based on robust waveform matching. The method includes the following steps: constructing multiple magnetometer baseline pairs, extracting the magnetic field waveform sequences of the front and rear magnetometers for each baseline pair; dividing the magnetic field waveform sequences into multiple sliding windows along the time axis, and determining a target sliding window containing the time to be measured; within the target sliding window, performing waveform matching using a robust dynamic time warping algorithm based on the magnetic field waveform sequence corresponding to each magnetometer baseline pair, and calculating the local vehicle speed estimate and its corresponding matching weight for each magnetometer baseline pair based on the matching results; and weighted fusing the local vehicle speed estimates of each magnetometer baseline pair based on the matching weights to obtain the target vehicle speed estimate. This method improves the ability of magnetic field waveforms to stably match in underground engineering environments, achieving accurate measurement of underground vehicle speeds.

The application discloses a four-dimensional seismic data correction method and system based on multi-scale frequency division waveform matching, relates to the technical field of seismic data analysis, and comprises the following steps: collecting two times of four-dimensional seismic data of a target oil field in different times and different modes, and obtaining early four-dimensional seismic data and late four-dimensional seismic data; performing preprocessing and wavelet transform frequency division processing based on preset parameters to obtain early frequency division data and late frequency division data in a plurality of preset frequency band ranges; performing inverse wavelet transform based on the preset parameters to obtain early frequency division space-time domain signals and late frequency division space-time domain signals in the plurality of preset frequency band ranges; performing cross-correlation calculation to determine a time offset; and correcting the early frequency division space-time domain signals based on the time offset to obtain data after frequency division waveform matching. The application alleviates the technical problem in the prior art that a time-lapse seismic response caused by fluid change in an oil and gas reservoir cannot be intuitively displayed.

The application provides a semiconductor detector particle pulse waveform data generation and analysis platform based on digital twin technology, comprising: an automatic full-link multi-working-condition semiconductor detector particle pulse waveform simulation system for controlling GEANT4, Weightfield2 and PyLTSPICE software, outputting simulated energy data and differential current data; a double-channel pulse waveform automatic acquisition system for collecting and storing accelerator measured energy data and current data by using physical entities and displaying in multiple channels; and a digital twin and physical twin data comparison and analysis system for analyzing waveform matching degree between accelerator measured waveforms and simulated waveforms under the same working condition and the same circuit parameters. The application has the advantages of efficiently and automatically generating massive pulse waveform data under different working conditions.