1478 results about "Wave shape" patented technology

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 an intelligent analysis system for ultrasonic phased array detection data of a welding seam, and relates to the technical field of nondestructive testing, and the intelligent analysis system is characterized in that a four-dimensional wave field tensor is constructed by collecting full-waveform ultrasonic data under multi-channel, multi-path and multi-angle conditions; extracting reflected signals which keep time coherence in a discontinuous path, and generating a high-dimensional coherence feature matrix; inputting the features into a self-supervised contrast learning model to obtain a defect semantic embedding vector; recognizing a suspected weak defect area based on the distribution density and the boundary change trend, and performing reverse beam focusing in combination with original data to obtain a defect three-dimensional positioning map; the shape bifurcation index and the boundary stability are calculated through topological analysis, and intelligent discrimination of artifacts and microcrack defects is achieved; the method does not need label data, has high automation and robustness, and is suitable for weak defect identification of complex structure welding seams.

The invention discloses a spraying control method of a waveform guardrail spraying manipulator, which relates to the technical field of industrial automation and robot control, and comprises the following steps: acquiring relative position change data of the manipulator and the surface of a waveform guardrail in a rotation process through a pre-established manipulator rotation track model; and for each time node, recording the spraying angle change and distance dynamic adjustment information, establishing a dynamic space mapping relationship under a manipulator rotation state for spraying control, and triggering a secondary spraying supplementing control instruction according to the coating quality consistency feedback, so that the reliability and stability of the spraying supplementing effect can be further ensured, and the spraying efficiency is improved. Therefore, the equipment utilization rate of the manipulator and the automation and intelligence level of spraying operation are remarkably improved while the uniformity of the coating and the consistency of spraying quality are improved.

The invention provides a metal mask plate and a manufacturing method thereof. The manufacturing method of the metal mask plate comprises the following steps: respectively determining a length deviation variable quantity and a wave shape variable quantity of a base material based on length deviation values and wave shape values of a plurality of partitions of the base material; creating an association model for representing an association relationship among the length deviation variable quantity, the wave shape variable quantity and the pixel hole variable quantity of the base material; the length deviation variable quantity and the wave shape variable quantity of the base material are substituted into the correlation model, and a predicted value of the pixel hole variable quantity of the base material is obtained; and under the condition that the predicted value of the pixel hole variation of the base material is not smaller than the target threshold value, the manufacturing process of the metal mask plate is adjusted. According to the method, the predicted value of the pixel hole variable quantity of the metal mask plate is predicted before the metal mask plate is manufactured, and the standard manufacturing process is adjusted according to the predicted value, so that the pixel hole variable quantity of the metal mask plate manufactured based on the adjusted manufacturing process meets the design requirement, and the product consistency can be improved.

The invention provides a blasting vibration waveform feature extraction and damage range intelligent calibration system. The method comprises the following steps: calculating a waveform irregularity sequence based on original vibration waveform data; then, a fiber grating sensor network is used for collecting strain vibration waves on the surface of the structure, and spatial distribution information of the strain change rate of the structure is mapped into a feature enhancement channel; learning a feature distribution mode based on the waveform data processed by the feature enhancement channel by using a coding and decoding structure, and performing reconstruction operation on the current blasting vibration waveform according to the feature distribution mode; identifying and amplifying abnormal feature differences by comparing an actual waveform irregularity sequence with a reconstruction sequence, and generating reconstruction error peak distribution; and finally, when the strain gradient abrupt change point position detected by the optical fiber sensor network is overlapped with the reconstruction error peak point space, generating a blasting damage area thermodynamic diagram based on the overlapped point space density. The precision and reliability of blasting damage range calibration are improved.

The invention relates to the technical field of intelligent sensing systems, in particular to an algorithm and system for avoiding water surface floating objects and improving monitoring precision based on radar water level monitoring, and the method comprises the following steps: collecting radar echoes, constructing spatial-temporal characteristics based on waveform asymmetry and coherent attenuation gradient, and calculating the spatial-temporal characteristics; according to the method, the central moments of the front edge and the rear edge of the echo are calculated, the waveform asymmetry is quantified, the dynamic stability is analyzed in combination with the attenuation gradient of the multi-time-lag coherence coefficient, the floating object interference is recognized from the double dimensions of the spatial form and the time memorability, and the actual water level is inverted. An effective scattering trailing interval is positioned, nonlinear approximation operation is performed on trailing data in combination with an index physical model, a shielded water surface energy distribution curve is reconstructed, a derivative zero point is solved, distance measurement deviation caused by floating objects is corrected, the real water level height is effectively restored, and the monitoring anti-interference capability and the data accuracy in a complex hydrological environment are improved.

An object is to accurately detect peaks of various compositions, even in a case of unseparated peaks in which peaks of a plurality of compositions are superimposed. A computer acquires waveform data D1 having a peak P1 in a composition A measured by a data analysis device (S10). Next, the computer acquires waveform data D2 having a peak P2 in a composition B measured by the data analysis device (S20). Next, waveform data D12 including unseparated peaks by superimposing the waveform data D1 including the acquired peak P1 and the waveform data D2 including the acquired peak P2 (S30) is generated. Next, the generated waveform data D12 of the unseparated peaks is input as learning data, and the waveform data D1 and D2 corresponding to the waveform data D12 are input as training data in Step S40. Next, machine learning is performed using the waveform data D12, D1, and D2, and a learned model for estimating an accurate separation method of unseparated peaks is constructed based on the trained result (S50).

In various embodiments, computer-implemented systems and methods for extracting pixel trajectories representing waveforms from a digital image, formed by lines and columns of picture elements, pixels, of a recording of an electrical activity of a human organ detected by on-skin electrodes, such as an electrocardiogram, ECG, or an electroencephalogram, EEG, are provided.

The invention relates to a high-speed target speed estimation method based on minimum entropy coarse and fine combination fast search. The method comprises the following steps: carrying out bandwidth synthesis on a baseband signal of a linear frequency modulation stepping echo signal; performing coarse velocity search on each sub-pulse, and performing phase compensation and coherent accumulation on each sub-pulse at each candidate coarse velocity; the waveform entropy of each candidate coarse velocity is calculated, and the candidate coarse velocity corresponding to the minimum entropy value in the waveform entropies is used as the optimal coarse velocity; compensating the intra-pulse Doppler distance coupling time shift of the baseband signal; performing distance pulse compression on the signal after coarse speed compensation; and performing bandwidth synthesis on the sub-pulse signals after pulse compression, performing fine grid search, performing phase compensation and coherent accumulation on each sub-pulse by using a fine phase compensation function for each searched fine velocity, and finally performing search according to a waveform entropy minimization principle to obtain an optimal fine velocity. According to the method, high-precision speed measurement and high-resolution range profile synthesis are synchronously completed in a single-frame signal.

The embodiment of the invention provides a dynamic waveform configuration method, a communication device and a storage medium, which are applied to terminal equipment and are used for realizing dynamic switching of waveforms in different scenes, and the specific scheme is as follows: sending first information to network equipment; the first information is used for indicating a waveform type supported by the terminal equipment and / or a parameter capability of the terminal equipment; sending a channel measurement report to the network device; receiving second information configured by the network equipment according to a waveform switching condition, the first information and the channel measurement report; the second information is used for indicating configuration information of a target waveform; the target waveform belongs to the waveform type supported by the terminal equipment.

The invention discloses a method for inverting the velocity of a cementing medium after casing based on ultrasonic Lamb waves, and relates to the field of geophysical logging. According to the method, ultrasonic Lamb wave logging and ultrasonic pulse reflection logging are carried out at all depth points through a post-casing scanning imaging logging instrument, waveform records at all the depth points are obtained, the thickness of a casing in the specified direction at all the depth points and acoustic impedance of a post-casing cementing medium are calculated in an inversion mode, and then the thickness of the casing in the specified direction at all the depth points and the acoustic impedance of the post-casing cementing medium are calculated on the basis of the ultrasonic Lamb wave logging waveform records. For each specified orientation of each depth point, Fourier transform is carried out on the full waveform of the near-bending Lamb wave and the full waveform of the far-bending Lamb wave, the phase difference of the far-bending Lamb wave and the far-bending Lamb wave is calculated, group delay processing is carried out, the working frequency band of the imaging logging instrument is scanned after combination, and the phase difference of the far-bending Lamb wave and the near-bending Lamb wave is calculated; and frequency values corresponding to the minimum values of the group delays at all the directions of all the depth points are obtained, and after a frequency set is obtained, the wave velocity and the medium type of the cementing medium after casing are determined according to the frequency values at all the directions in the frequency set, the frequency number of the minimum values and the acoustic impedance value.

Provided in the embodiments of the present application are communication methods and communication apparatuses, which can send first carriers on the basis of configurations of the first carriers. A method comprises: on the basis of a configuration of a first carrier, a first node sending the first carrier to an ambient Internet-of-Things (AIoT) device, wherein the configuration of the first carrier comprises one or more of the following: a power configuration of the first carrier, a carrier spacing configuration of the first carrier, a guard band configuration of an AIoT system, a frequency hopping configuration of the first carrier, a codebook configuration of the first carrier, or a waveform configuration of the first carrier, and the first carrier is used for carrying modulation information of the AIoT device in the AIoT system.

According to the repeated impact test device for multiple impact tests and the loading waveform control method, a special-shaped impact rod is adopted to replace a traditional cylindrical impact rod, the end, making contact with the impact rod, of an incident rod is designed into a cone, and the diameter of the end face of the incident rod with the special-shaped end is consistent with that of the end face of the special-shaped impact rod; aiming at the requirements of the tested material and structure on the loading waveform, the waveform with different forms and different rising edges can be realized by designing the cone angle and the shape of a cone or designing a complex curve profile, a multi-segment cone and the like, and the accurate control of the loading waveform is realized; according to the automatic multi-impact test device based on the split Hopkinson pressure bar, the defect that disposable accessories need to be replaced in a traditional waveform shaping control method can be overcome, it is guaranteed that the waveform meets the test requirement during impact loading every time, the amplitude is constant, the waveform is consistent, stable and reliable, the test precision and efficiency are improved, and the test cost is reduced. The device can be applied to automatic multiple impact tests based on the split Hopkinson pressure bar.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive an indication of one or more waveforms supported by a base station, wherein the one or more waveforms include at least one of an orthogonal frequency division multiplexing (OFDM) waveform, a single carrier frequency domain (SC-FD) waveform, or a single carrier time domain (SC-TD) waveform. The UE may determine whether the UE is capable of communicating with the base station based at least in part on the indication. The UE may selectively communicate with the base station using at least one waveform of the one or more waveforms based at least in part on the determination. Numerous other aspects are provided.

The invention relates to a centrifugal fan and a range hood. The centrifugal fan comprises a volute and an impeller. A current collector is arranged at the air inlet of the volute; the first disc and the second disc are oppositely arranged in the front-back direction; the blades are connected between the first disc and the second disc and distributed in the circumferential direction, the front edge of at least one blade is provided with a wave-shaped section, and the length H2 of the wave-shaped section in the axis direction of the impeller meets the conditions that 0.8 Dn < = D1 < = Dn, 0.5 < = Hz / Hq < = 2; wherein D1 is the maximum diameter of an inlet of the current collector, Dn is the minimum inner diameter of the impeller, Hz is the axial depth of the impeller, and Hq is the air inlet space depth of the front side or the rear side of the centrifugal fan in the machine shell. A plurality of parameters such as the axial length size of the wave-shaped section, the inlet size of the current collector, the inner diameter of the impeller, the depth direction size of the impeller on the single side and the depth of the air inlet space on the side are subjected to collaborative design synthesis and matching. The invention has the advantages that the pneumatic performance of the machine can be ensured while the airflow noise is obviously reduced.

The utility model discloses automatic welding equipment for the end face of a spiral plate, which relates to the technical field of welding, aims to solve the technical problem that the welding path of a spiral plate heat exchanger is single, and comprises a base, a rotating mechanism, a control operation cabinet, a cross module mechanism, a laser tracking sensor and a composite welding holder. The composite welding holder is composed of a bearing table, an indexing assembly and an execution assembly, the indexing assembly can provide two working modes of continuous rotation and intermittent rotation, and the execution assembly drives the welding gun to be overlapped on a reference spiral track to form a wavy spiral welding track and a bevel spiral welding track. Automatic welding of two kinds of high-performance welding seams is achieved through one set of equipment, the anti-fatigue advantage of a wave-shaped track and the high-strength characteristic of a bevel-shaped track are both achieved, stress distribution of the welding seams is effectively improved, and welding quality, efficiency and equipment universality are remarkably improved.

The invention discloses a power frequency waveform classification method and device, a medium and equipment, and belongs to the field of waveform classification, and the method comprises the steps: obtaining preprocessed power frequency waveform data of a power transmission line, calculating various waveform features, and inputting the features into a preset cascade classifier model. The model is composed of a plurality of XGBoost binary classifiers which are cascaded in sequence, and each classifier is responsible for executing a specific binary classification task. The output result of the previous classifier is used for triggering the starting of the next classifier, or the final classification result is directly output. The cascade structure not only improves the accuracy and efficiency of classification, but also reduces the complexity of the model, and effectively solves the problem that the fault positioning power frequency of the power transmission line cannot be accurately and efficiently classified in the prior art.

According to the SAR anti-interference method based on the multiple orthogonal frequency modulation waveform design disclosed by the invention, the waveform agility number and orthogonality can be improved while the low sidelobe imaging performance is ensured; in addition, according to the method, a segmented high-degree-of-freedom frequency modulation coding structure is adopted, and the long-distance imaging requirement of a satellite-borne SAR system under the condition of a large time bandwidth product can be met. The method comprises the following steps: S1, constructing a multi-target signal optimization model for minimizing a peak sidelobe ratio and cross-correlation peak energy; s2, designing an improved adaptive genetic algorithm for solving a non-convex complex waveform optimization problem; s3, an MOFM waveform with accurate spectrum control capability is obtained through algorithm optimization; s4, effective suppression of main lobe active interference is realized by using the designed waveform; compared with a traditional linear frequency modulation waveform, the method has the advantages that the low sidelobe characteristic is kept, meanwhile, the orthogonal agility number is remarkably increased, and the method is suitable for the anti-interference imaging requirement of a modern spaceborne SAR system.

One aspect of the data generation device of the present application is a data generation device that analogically generates data used when creating an identifier for detecting a peak observed in a signal waveform by machine learning, including: a parameter frequency information acquisition section (31, 32) that obtains frequency information of a predetermined shape parameter that characterizes the shape of a plurality of signal waveforms collected by reducing a target field for creating the machine learning of the identifier; and a simulated waveform generation section that generates a simulated signal waveform that can include overlap of a plurality of peaks and noise using the frequency information of the shape parameter, and provides the simulated signal waveform as data for training or evaluation of the machine learning. Thus, high-precision teacher data can be analogically generated.

A digital signal processing method is for enhancing fidelity of equivalent-time waveform measurements. The method includes receiving a digitized equivalent-time waveform of a repeating signal under test (SUT), applying a low-pass filter to the digitized equivalent-time waveform to obtain a smoothed waveform, generating a residual waveform by subtracting the smoothed waveform from the digitized equivalent-time waveform, estimating contributions of multiple noise sources in the residual waveform using a regression model, computing target noise and jitter values by removing known intrinsic contributions, and reconstructing a corrected waveform by combining the smoothed waveform with a scaled version of the residual waveform, wherein the scaling is based on the target noise source contributions.

The invention discloses a power distribution network short-time grounding transient waveform similarity calculation method and device. The method comprises the following steps: collecting a plurality of original transient waveforms; based on a preset standard sampling rate and a preset standard analysis window, performing resampling and time window alignment operation on the plurality of original transient waveforms to obtain a plurality of first transient waveforms; calculating a mean value and a standard deviation of a plurality of sampling points respectively corresponding to the plurality of first transient waveforms; adjusting the plurality of first transient waveforms based on a mean value and a standard deviation of a plurality of sampling points corresponding to the plurality of first transient waveforms to obtain a plurality of standard transient waveforms; and calculating the similarity among the plurality of standard transient waveforms, and determining the similarity among the plurality of original transient waveforms. According to the method and the device, the technical problem that the calculation is complicated and the efficiency is relatively low when the similarity is calculated because the original waveforms of different terminals have inherent isomerism with different protocols is solved.

The invention discloses a method for quantitatively evaluating the three-dimensional shape of a thinning defect in a plate under ultrasonic guided wave field undersampling scanning, belongs to the field of industrial nondestructive testing, and particularly relates to high-precision three-dimensional shape reconstruction and thickness loss quantification of a corrosion defect in a metal plate shell structure (such as aerospace skin, a pressure vessel wall, an oil pipeline and the like). According to the method, sparse sampling guided wave field reconstruction, full waveform inversion (FWI) and priori knowledge constraint are fused, Shannon sampling theorem limitation is broken through, efficient measurement of corrosion depth, contour and distribution under the conditions of a single excitation source and a limited view angle is achieved, and the method is suitable for rapid online detection in a complex industrial environment.

The application discloses a swing device for an electroplating hanger and relates to the technical field of electroplating equipment. The swing device for the electroplating hanger comprises a frame body, a hanger, a driving assembly and a sliding piece. The frame body is provided with a first track and a second track which are oppositely arranged. The hanger comprises a first main body and a second main body which is slidably connected to the first main body. The second main body is provided with a clamp assembly for clamping an electroplating piece. The driving assembly is connected to the first main body and is used for driving the first main body to move along the first track. The sliding piece is connected to the second main body and is slidably connected to the second track. The second track is formed with a wave-shaped sliding groove which extends in the same direction as the first track. The sliding piece moves along the wave-shaped sliding groove under the driving of the second main body, so that the second main body moves in the extending direction of the first track and reciprocally slides relative to the first main body, thereby driving the electroplating piece clamped by the clamp assembly to reciprocally swing. The technical scheme of the application can solve the problem that the existing electroplating piece is not uniformly electroplated due to the bubbles attached to the surface of the electroplating piece.

The invention discloses an antenna based on phase-only non-uniform time modulation, which comprises a shaped reflector antenna and a phase-only non-uniform time modulation array feed source, the shaped reflector antenna is used for forming cosecant square beams on a pitching surface, and the phase-only non-uniform time modulation array feed source is formed by a plurality of antenna unit arrays. Each antenna unit is cascaded with a time modulation module, and the phase-only non-uniform time modulation array feed source controls each antenna unit through a phase modulation waveform. According to the invention, a phase-only non-uniform time modulation array antenna is used as a feed source to irradiate and form a reflector antenna, and a cosecant square beam is formed on a pitching surface by using the beam forming capability of the reflector antenna, so that the cosecant square beam is formed on the pitching surface at extremely low cost; a phase-only non-uniform time modulation array feed source is utilized to realize low-sidelobe, high-precision and wide-angle scanning of a fundamental wave beam on an azimuth plane, so that two-dimensional high-gain wide-airspace beam coverage is realized.

The invention discloses a track irregularity dynamic detection method based on inertial navigation and non-filtering, which belongs to the field of railway track detection, and comprises the following steps: based on an inertial measurement unit, performing global integrated navigation solution by combining zero-speed information, a speed sensor and a GNSS positioning result to obtain a global reference navigation state sequence; point cloud registration and key point extraction are carried out on the two-dimensional point cloud obtained by scanning the surface of the track to be detected, and key point coordinates are obtained; performing mechanical arrangement of the sliding window inertial navigation system by taking the target chord length as the window length to obtain a bogie motion trail; and performing three-dimensional dynamic lever arm position compensation based on the global reference navigation state sequence, the key point coordinates and the bogie motion trail to obtain a track shape trail: calculating track irregularity parameters, and completing track irregularity dynamic detection. According to the method, track irregularity dynamic detection is realized, band-pass filtering processing is not needed, information loss is less, and waveform distortion can be avoided.

The invention relates to a material sound velocity measurement method based on an envelope cross-correlation algorithm, relates to the technical field of automatic detection, and solves the technical problem of serious waveform distortion interference in sound velocity measurement of an internal non-uniform material in the prior art. The method comprises the following steps: initialization setting and reference acquisition; performing point-by-point scanning on the current scanning surface of the tested sample to obtain sample echoes; drawing a sound velocity distribution diagram of the current scanning surface of the tested sample; rotating the sample to be measured and continuously measuring until the detection of the three orthogonal surfaces is completed; the average sound velocity of the tested sample is obtained. By applying the material sound velocity measurement method, scattering attenuation and frequency dispersion effect interference caused by material anisotropy can be eliminated, a period jump error caused by carrier phase ambiguity is reduced, the signal-to-noise ratio of a detection signal is effectively improved, automation and high repeatability of sound velocity measurement are achieved, and the measurement accuracy is improved. And the recognition accuracy of the small sound velocity difference is improved.

A multi-directional loading spin forming method for improving the wall thickness uniformity of corrugated pipes includes: mounting the fixed end of the pipe blank on a mandrel, with the free end of the pipe blank contacting the end face of a thrust plate; assuming that the wall thickness of the pipe blank remains constant during the spin forming process, with only the shape changing, the pipe blank is discretized into n micro-elements along the axial direction, maintaining the volume of each micro-element after deformation equal to that before deformation; based on the length difference of each micro-element before and after deformation, the specific displacement of the thrust plate when the spinning wheel moves to different waveform regions during the spin forming process can be obtained, and the axial displacement curve of the thrust plate is plotted to obtain the tail axial loading path; rotating the mandrel so that the spinning wheel contacts the pipe blank radially, the spinning wheel feeds according to the target waveform curve of the corrugated pipe, and simultaneously the thrust plate feeds according to the tail axial loading path, obtaining a corrugated pipe with better wall thickness uniformity. Compared with the spin forming results of the prior art, the maximum wall thickness difference of the corrugated pipe formed by the process of this invention is reduced by 25%.

The invention discloses a river water level inversion method taking altimeter footprint heterogeneity into consideration. The method comprises the following steps: acquiring an observation waveform of an SAR altimeter; space geometric parameters are calculated through footprint gridding and observation geometric modeling; constructing a water distribution scene based on the water mask and the river network, and classifying the water into a main river channel, a flood area and an adjacent isolated water body; electromagnetic scattering numerical integration is carried out based on the differentiated surface roughness parameters, and a simulated echo waveform is generated; waveform retracking and parameter inversion are realized through coarse grid search and local optimization solution; calculating an absolute water level and carrying out geophysical correction; performing multi-index quality control based on the interpretation rate of the analog waveform and the residual whitening degree; and finally outputting a water level product. According to the method, the defects of insufficient inversion precision and robustness of an existing method in a complex earth surface mixed scene are overcome, and the accuracy, reliability and physical interpretability of inland river water level monitoring are remarkably improved.

A time series of raw performance data samples pertaining to performing of a set of repetitions of a movement by a user is collected from a sensor. A set of features is generated from the collected time series of raw performance data samples, including by extracting one or more waveform shape features. The set of features, including the extracted one or more waveform shape features, is provided as input to a model that outputs an estimate of repetitions in reserve.

Disclosed is a method of controlling a modular battery powered handheld surgical instrument. The surgical instrument including a battery, a user input sensor, a controller, a radio frequency (RF) drive circuit, an ultrasonic transducer, ultrasonic transducer drive circuit, and an end effector. The end effector including an electrode electrically coupled to RF drive circuit, an ultrasonic blade acoustically coupled to the ultrasonic transducer, and a sensor to measure tissue parameters. The method includes applying an RF current drive signal to the electrode by the RF drive circuit; applying an ultrasonic drive signal to the ultrasonic transducer by the ultrasonic transducer drive circuit to acoustically excite the ultrasonic blade; controlling intensity, wave shape, and / or frequency of the RF current drive signal and the ultrasonic drive signal on a sensed measure of a tissue or user parameter.