1909 results about "Phased array" patented technology

The invention provides a directional energy multi-target interference system based on an ultra-wideband phased array technology, and the system integrates signal perception, target recognition, interference signal generation and phased array control, so as to achieve the precise interference of an unmanned aerial vehicle cluster. The signal sensing module scans an airspace target through the ultra-wideband phased-array antenna array and obtains spectrum characteristics of a target signal. The target identification module analyzes signal features, identifies an individual target and predicts a motion track and a communication protocol of the individual target. And the phased array control module calculates and adjusts antenna beam forming parameters, and dynamically controls the radiation direction, phase and transmitting power of the antenna. The interference signal generation module generates a matched interference waveform based on the target communication protocol and the trajectory information. The ultra-wideband phased-array antenna array adopts a digital beam forming technology. According to the invention, efficient and accurate directional energy interference can be realized under multiple frequency bands, the confrontation capability of the unmanned aerial vehicle cluster is improved, and the method is suitable for defense tasks in electronic warfare and complex electromagnetic environments.

The invention provides a multi-mode ultrasonic fusion pressure vessel weld defect nondestructive testing method and system, and relates to the technical field of nondestructive testing. According to the method, geometric parameters of a welding seam are obtained through three-dimensional laser scanning, and an optimal scanning parameter set is generated; driving ultrasonic phased array equipment to scan for one time and synchronously acquire shear wave full-matrix capture and longitudinal wave linear scanning data; performing energy flow angular spectrum analysis and envelope analysis on the bimodal data, extracting defect feature parameters and constructing a three-dimensional feature tensor; carrying out multi-dimensional feature fusion by adopting Tucker decomposition, and enhancing a core tensor through physical modeling; generating three types of defect indication diagrams including a defect existence possibility diagram, a defect relative scale diagram and a defect space orientation diagram from the enhanced feature tensor; and the three types of indication diagrams are visually presented for comprehensive interpretation of detection personnel. Through multi-modal data fusion and physical modeling enhancement, the defect identification accuracy and detection efficiency are remarkably improved, the false alarm rate is reduced, and reliable technical support is provided for pressure vessel welding seam safety detection.

The invention discloses a multichannel high-precision PAF signal synchronous acquisition system and a multichannel high-precision PAF signal synchronous acquisition method, and relates to the technical field of phased array signal acquisition and processing, the multichannel high-precision PAF signal synchronous acquisition system is characterized in that a hydrogen atomic clock time-frequency distribution module is in signal connection with a plurality of signal acquisition processing boards, and each signal acquisition processing board comprises a double-loop phase determination clock circuit and an RFSoC circuit; and the double-loop phase determination clock circuit is in signal connection with the RFSoC circuit. The time-frequency distribution module adopts a time-frequency signal output by a hydrogen atomic clock as a reference, so that the synchronization precision is ensured; the clock architecture of the acquisition processing board card adopts a phase determination mode, so that a Tile clock and a PL logic clock in the board are strictly in phase with an external input reference clock, and ADC acquisition synchronization of all channels is ensured; a phase clock circuit design is determined by adopting double loops, and all output clocks and an input reference clock keep a strict phase relationship; the system adopts a three-step synchronization process, so that the synchronous acquisition of hundreds of paths of PAF signals reaches the ps-level precision.

The invention relates to the technical field of narrow-band filters, and discloses an ultra-low power consumption narrow-band filter implementation method based on a digital phased array system, and the method comprises the following steps: S1, collecting input signal data, carrying out the adaptive preprocessing, and generating preprocessed signal data; s2, performing digital beam forming processing based on the preprocessed signal data to generate digital beam forming data; s3, performing narrowband filtering parameter matching processing according to the digital beam forming data to generate narrowband filtering parameter data; in the narrowband filtering processing process, disturbance of environmental electromagnetic interference to a target signal is identified and eliminated in real time through adaptive noise suppression and a multi-dimensional signal preprocessing mechanism, so that the system can guarantee the pointing precision of digital beam forming, the pointing offset problem in the space signal capturing process is avoided, the accuracy of narrowband signal extraction is improved, and the accuracy of narrowband signal extraction is improved. And the reliability of filtering output and the signal fidelity are enhanced.

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 provides an unmanned aerial vehicle part circumferential weld ultrasonic automatic detection method and system, and relates to the technical field of nondestructive detection.The method comprises the steps that 1, a to-be-detected unmanned aerial vehicle part circumferential weld is fixed to an automatic detection platform, an ultrasonic phased array probe is coupled to the surface of the weld, and arrangement parameters and the initial coupling state of the probe are obtained; 2, according to the arrangement parameters and the initial coupling state of the probe, in combination with the curvature characteristics of the welding seam, the motion path length of the probe on the curved surface of the welding seam is calculated, the axial and circumferential composite motion trail of the probe is planned, the probe array is controlled to move along the composite motion trail, and ultrasonic signals are excited and received in a full-matrix capture mode; acquiring an ultrasonic original signal of the welding seam area; according to the method, the compound motion track of the probe is planned by combining with the weld curvature, the signal is synchronously calibrated, and the detection quality of internal defects of the circumferential weld is improved.

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 relates to a quick response liquid crystal phased array intelligent antenna system for a satellite internet of things, and the system comprises a sensing system which is used for collecting a terminal state, a satellite orbit, an environment state, and self-calibration information; the control system is used for generating an optimal beam control strategy based on a multi-target optimization algorithm in combination with the information acquired by the sensing system; the execution system is used for decomposing the optimal beam control strategy into the direction and shape of each beam; and the interconnection system is connected and communicated with an external network based on a plurality of communication interfaces.

The invention provides a multipath fusion phased array radar antenna unit coordinate determination method and system, and the method comprises the steps: obtaining an antenna array surface power distribution diagram, recognizing the boundary and geometric center of an array, and planning a spiral and cross-shaped composite sampling path; on the planned sampling path, collecting phase data at a plurality of inclination angles and frequencies; based on the signal-to-noise ratio and the angle correction factor, carrying out adaptive weighted fusion calculation on the adjacent point phase difference under multiple conditions; establishing an overdetermined equation set by using the fused phase difference, and iteratively solving the accurate coordinates of the antenna unit through two rounds of weighted least squares; and establishing a drift model to perform dynamic compensation, and performing real-time calibration by using a unit with determined coordinates as a reference point. According to the invention, through a multi-angle and multi-frequency redundancy measurement strategy and in combination with a signal-to-noise ratio-based adaptive weighting algorithm, environmental interference can be effectively identified and suppressed. Even in a complex electromagnetic environment, the system can still keep stable measurement precision.

The invention relates to a broadband planar array antenna light-operated beam forming method based on multi-task sparse learning, and the method comprises the steps: deducing an array factor expression of a broadband array as priori knowledge through employing a rectangular planar array antenna; constructing a multi-frequency-point beam joint optimization model of the planar array antenna based on the neural network; based on the priori knowledge, calculating a total loss function of the model by using expected broadband array pattern data and a group inhaul cable regularization method, and training a multi-frequency-spot beam joint optimization model; and based on the trained model, obtaining the optimal array layout and the amplitude and delay distribution of each array element, and calculating to obtain a low-sidelobe directional diagram in which the deflection angle is irrelevant to the frequency. According to the invention, the deflection angle of the array radiation beam is kept constant in a broadband range, and the problem of'beam squint 'of a traditional phased array is solved; and meanwhile, the beam sidelobe level of each frequency point is effectively suppressed, and the grating lobe problem of the uniform array on the broadband is avoided.

The invention discloses a phased array receiving beam resource allocation method for satellite communication, which relates to the technical field of satellite communication, and comprises the following steps: acquiring satellite position, user position and satellite attitude data, calculating an azimuth angle and a pitch angle of a propagation path, querying a pre-stored dark matter density distribution database of a satellite-borne memory, and calculating a pre-stored dark matter density distribution database of the satellite-borne memory; extracting a dark substance density value; according to the user service priority and the real-time channel quality, a beam resource proportion is adjusted in a resource allocation table, and a beam scheduling instruction is generated; and executing the beam scheduling instruction, driving the state switching of the millimeter wave phased array phase shifter, monitoring the change rate of the signal-to-noise ratio of the user terminal, and re-calculating the azimuth angle and the pitch angle of the propagation path when the continuous change rate of the signal-to-noise ratio exceeds a preset change rate threshold. According to the method, a space-borne pre-stored dark matter density database is inquired, a phase disturbance value is calculated, and the cosmic scale dark matter physical field effect is brought into a beam control closed loop.

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 relates to the technical field of satellite internet, and discloses a low-orbit satellite phased array multi-beam interference modeling and suppression method and system, and the method comprises the steps: selecting a Kaiser window as a core filtering method, and achieving the optimization of beam characteristics through the dynamic adjustment of a shape parameter beta; generating an initial beam directional diagram based on a digital phase matching method, and multiplying the Kaiser window function coefficient by the excitation weight of the 64-array-element linear array element by element to realize spatial domain weighted filtering; the method comprises the following steps: constructing a training data set containing multi-scene interference characteristics, calculating a corresponding covariance matrix and an accurate inverse matrix thereof to form a sample pair, designing a deep neural network architecture, inputting a flattened covariance matrix vector, and learning a complex nonlinear mapping relation from the covariance matrix to the inverse matrix through a multi-layer full-connection structure; a mean square error is used as a loss function to constrain network output precision, and a multi-beam interference system model is constructed; according to the invention, stable and efficient communication of the low-orbit satellite system in a complex electromagnetic environment and under rapid channel change is ensured.

The present application belongs to the technical field of wireless communications and radar systems. Disclosed are a dual-band fusion and multiplexing frequency source, chips, a radio-frequency transceiver, a system, and a device. The system comprises: a full-function millimeter-wave CMOS 4+1 phased array chip, which is connected to an antenna end, and is used for realizing signal processing and frequency conversion between a millimeter-wave signal and a C-band intermediate-frequency signal, performing phase control and gain adjustment on the millimeter-wave signal, and providing an internal frequency source and a calibration function; a C-band front end, which is connected to the antenna end, and is used for receiving or transmitting a C-band signal; a C-band / intermediate-frequency transceiver multiplexing chip, which is used for performing frequency conversion between a C-band or intermediate-frequency signal and a baseband signal in a multiplexing manner, and performing signal processing and gain control on the C-band intermediate-frequency signal; a dual-band fusion and multiplexing frequency source, which is used for providing a local oscillator signal; and an all-digital control logic circuit, which is used for providing a control instruction. The present application improves the efficiency and performance of dual-band joint communications.

Disclosed are a wide-angle beam-scanning phased array based on near-field coupling and port self-decoupling and a design method thereof. This design method is different from traditional methods that require introduction of additional beam-broadening and decoupling structures, but aims to obtain wide-beam active element pattern by cleverly utilizing a near-field coupling effect between elements. Meanwhile, port self-decoupling technology is introduced into the phased array to achieve high port isolation and improve beam gain at large scanning angle. Therefore, a phased array with an extremely simple structure and an excellent beam-scanning performance, can be constructed based on typical narrow-beam antenna elements, without requiring additional beam broadening and decoupling structures.

The invention discloses a phased array weather radar calibration method based on a generalized metal ball calibration theory. Comprising the following steps: in a microwave anechoic chamber, collecting two-dimensional antenna pattern data of a phased array weather radar in at least one working mode and pointing to a plurality of different beams; performing numerical integration on the two-dimensional antenna pattern data, calculating a combined beam main lobe solid angle of the transmitting antenna and the receiving antenna, and calculating an equivalent beam width product; calculating a calibration theoretical reflectivity factor of the metal ball based on the product of the theoretical radar scattering sectional area and the equivalent beam width of the metal ball; actual detection echo data of the phased array radar on the metal ball under different working modes and beam pointing is acquired, and an actual reflectivity factor is calculated; and comparing the actual reflectivity factor with the calibration theoretical reflectivity factor to complete calibration of the phased array weather radar. Aiming at the non-Gaussian working mode of the phased array weather radar, the reflectivity factor of the phased array weather radar can be quantitatively evaluated, and the radar detection performance is improved.

The embodiment of the invention discloses a noise reduction regulation and control method and device for a self-adaptive sound barrier and a medium, and relates to the technical field of noise reduction, and the method comprises the steps: collecting multi-source vehicle noise data which comprises current sound pressure signal time sequence data, preposed sound pressure signal time sequence data and preposed vehicle point cloud data, according to the front sound pressure signal time sequence data and the front vehicle point cloud data, determining a noise source position prediction result corresponding to a sound barrier front node so as to perform sound field prediction on the sound barrier node, and determining a corresponding sound field energy distribution thermodynamic diagram; according to a preset sensitive frequency band threshold value, a target noise high-frequency band needing to be offset is determined in the sound field energy distribution thermodynamic diagram, so that a reverse sound wave signal corresponding to a phase array offset module is generated, and the target noise high-frequency band is offset; and according to the current sound pressure signal time sequence data and the reinforcement learning strategy, determining dynamic sound absorption regulation and control parameters of the dynamic sound absorption module so as to absorb a low-frequency band.

The invention discloses a calibration device with a spectrum self-calibration function and a high-resolution spectrum calibration method thereof. The device comprises a narrow-band light source, a broadband light source, an optical fiber isolator, a coupler, an interference system, a multi-way switch, an FP (Fabry-Perot) cavity, a collimator, an orthogonal dispersion system and a computer, wherein the orthogonal dispersion system consists of a cylindrical lens, a reflector, a virtual phase array, a grating, a focusing lens and an industrial camera; according to the device, different light source paths are gated, FP cavity modulation and orthogonal dispersion system light splitting are utilized, and an industrial camera is combined to receive light signals. According to the method, the mapping relation between pixels and wavelengths can be established, the two-dimensional spectrum is compressed into the one-dimensional calibration spectrum through light intensity modulation and normalization processing, the calibration process of the orthogonal dispersion system is simplified, and the measurement precision is improved; and system drift can be compensated in real time through self-checking calibration, and the reliability of a measurement result is ensured, so that accurate calibration and measurement of a high-resolution spectrum can be realized.

The invention provides a building steel structure engineering detection device based on a sensor, and relates to the field of building steel structure engineering detection. The detection device comprises a sectional type bionic mechanical arm which is formed by connecting at least six joint sections capable of being bent independently in series, and a pneumatic driving cavity and a shape memory alloy wire are arranged in each joint section; the self-tightening winding mechanism comprises a pre-tightening belt surrounding the outer wall of the mechanical arm and a pressure feedback unit; the multi-mode detection head is fixed at the tail end of the mechanical arm and is integrated with an eddy current sensor, an ultrasonic phased array probe and a high-resolution industrial camera; and the central control module is in signal connection with the mechanical arm and the multi-mode detection head, dynamically plans a winding path of the mechanical arm according to laser ranging data of the laser ranging module, and selectively starts the eddy current sensor or the industrial camera to perform cooperative detection based on an initial scanning result of the ultrasonic phased array probe. And the effects of self-adaption to complex morphology, synchronous completion of multi-type defect detection and environmental interference resistance are achieved.

The invention belongs to the technical field of radar beam control, and discloses a beam control system and method applied to a satellite-borne phased array radar antenna array plane. A hierarchical control architecture is adopted, computing resources are reasonably distributed, the beam conversion time is shortened, and universality is achieved; according to the invention, a main and standby circuit cross hot backup, series connection and parallel connection combined form is adopted at a sub-array wave control unit level, so that the number of output signals of a wave control extension set is reduced, and the system cost is reduced; component-level temperature amplitude phase compensation can be achieved, the component wave control chip collects temperature in real time and sends the temperature to the wave control unit through a BIT channel, and the wave control unit completes calculation compensation; according to the invention, subarray-level deformation phase compensation can be realized, and the wave control unit realizes deformation phase compensation at the subarray level according to the subarray deformation quantity measured by the deformation measurement system.

The invention provides a method for detecting a welding seam by adopting an ultrasonic flaw detector, and belongs to the technical field of welding seam detection. The welding seam is divided into small welding sections, and each small welding section is subjected to multi-direction ultrasonic scanning; a scattering attenuation coefficient and a signal-to-noise ratio parameter are calculated to determine an optimal detection position direction vector group and an optimal time frequency group, and then a high-frequency narrow pulse probe is matched with a phased array focusing technology to carry out second detection according to the optimized parameter; and the identified defects are classified and evaluated according to the near surface blind area characteristic parameters, secondary verification is performed by adopting a surface wave supplementary detection algorithm, and finally a weld defect position distribution diagram is generated, so that the technical problem of low defect detection accuracy caused by serious ultrasonic scattering attenuation of a coarse grain structure weld material is solved.

The invention discloses an ultrasonic phased array driven graphene oxide flow stripping and closed-loop regulation and control system and method, and the system comprises an ultrasonic phased array module, and a piezoelectric transducer array element in the ultrasonic phased array module controls sound beam focusing and energy distribution through a phase delay controller, and carries out the stripping of graphite oxide flowing in a flow channel; a micro-Raman spectrometer in the micro-fluidic-Raman detection module collects characteristic peak data of a graphene oxide sheet layer in a micro-fluidic chip in real time and sends the characteristic peak data to a signal analysis unit; and the feedback control module is used for receiving the layer number distribution data output by the signal analysis unit, dynamically adjusting ultrasonic parameters of the phase delay controller, and controlling the diverter valve to guide substandard products into a secondary treatment channel and finally return the substandard products to the flow channel for stripping again. The system and the method for stripping the graphene oxide based on coupling of the ultrasonic phased array and the micro-fluidic chip have the advantages of efficient stripping, accurate detection, closed-loop optimization and the like.

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 invention relates to the technical field of nondestructive testing, in particular to an ultrasonic phased array-based PE (Poly Ethylene) hot-melt joint nondestructive testing method and system, which comprises the following steps: acquiring material parameters in real time, establishing an anisotropic finite element model, dynamically compensating a sound wave path, spirally scanning a detection area, fusing and analyzing defect characteristics, optimizing three-dimensional imaging and the like. The system comprises an ultrasonic phased array probe array, a dynamic compensation controller, a six-axis mechanical arm and an imaging optimization engine. The invention solves or at least alleviates the problem of insufficient detection precision caused by non-uniform material anisotropy, dynamic density gradient and elastic modulus distribution in the nondestructive detection of the PE hot-melting joint in the traditional ultrasonic detection method, and provides the nondestructive detection method and system for the PE hot-melting joint based on the ultrasonic phased array.

Systems, methods, and apparatus for ultra-sonic inspection of a surface are described. An example system may include an inspection robot structured to move in a direction of travel on an inspection surface. The inspection robot may include a payload including a first ultrasonic (UT) phased array and a second UT phased array, the first UT phased array and the second UT phased array being arranged in a parallel configuration. The inspection robot may include a rastering device structured to move the payload in a direction of inspection, the direction of inspection being distinct from the direction of travel and the direction of inspection being distinct from the parallel configuration of the first UT phased array and the second UT phased array.

The invention relates to an intelligent wind power blade defect identification method based on phased array detection, which aims at the anisotropic characteristic of a wind power blade glass fiber reinforced composite material, and can flexibly adjust the sound beam angle, effectively penetrate through the material and inhibit the scattering of an ultrasonic signal through a low-frequency linear array probe with characteristic parameters and an electronic focusing technology. Defects in different directions such as impurities perpendicular to layers, cracks in the fiber direction, wrinkles and the like can be accurately detected, meanwhile, by combining wavelet packet transformation noise reduction and a feature extraction algorithm, the distinguishing capacity of defect echoes and noise in complex materials is remarkably improved, the method is adaptive to complex structures and material characteristics of wind power blades, the application range of the detection technology is expanded, and the detection efficiency is improved. An ultrasonic phased array detection technology and an intelligent algorithm (a K-means clustering algorithm and a YOLOv8 target detection model) are deeply fused, the limitation that traditional detection depends on manual analysis is broken through, and a full-process automatic detection system of data acquisition, feature extraction and intelligent recognition is constructed.

The invention provides a satellite communication system with multi-mode capability and a communication method, and belongs to the technical field of satellite communication. A signal processing module of the system comprises a load control unit and a baseband processing unit, the load control unit is responsible for beam correlation calculation, transmission rate control, antenna channel power-on and power-off control and the like, the baseband processing unit is used for processing uplink and downlink signals, and the downlink supports multiple modes. The frequency conversion processing module is provided with an upper frequency conversion channel and a lower frequency conversion channel which respectively process transmitted and received signals. And the wide-beam receiving antenna is responsible for receiving uplink data. The phased array transmitting antenna is responsible for transmitting downlink data, is high in gain and fast in pointing adjustment, and supports multiple modes. According to the communication method, satellite transmitting and receiving are started by default, and transmitting serves as a beacon to assist a user in capturing. According to the invention, the working modes can be flexibly switched, the telemetering downloading capability and the information broadcasting efficiency are improved, and diversified communication requirements are met.

The invention discloses a point cloud scanning method of a laser radar and the laser radar. The point cloud scanning method of the laser radar comprises the steps that light deflection angles corresponding to position areas with different point cloud angular resolutions in a view field area of the laser radar are acquired, and different light deflection angles correspond to different driving voltages; and applying the driving voltage corresponding to each light deflection angle to the liquid crystal phased array for point cloud scanning. According to the invention, different position areas in the field of view of the laser radar correspond to different point cloud angular resolutions based on the liquid crystal phased array light, the time for scanning the whole frame of image in the field of view is saved, and the image frame rate of the laser point cloud is improved. Moreover, as the liquid crystal phased array can freely control the deflection angle of the light, the point cloud angular resolution in the view field area is adjusted through the liquid crystal phased array, and the point cloud performance of the laser point cloud cannot be affected.

The invention provides a building construction measurement method and system, electronic equipment and a storage medium, and relates to the technical field of building construction measuration.The building construction measurement method comprises the steps that steel structure nodes are shot at multiple angles through image acquisition equipment, and original images are fused to obtain a target image containing a weld joint contour and a bolt spacing; calling a twinning neural network to compare the twinning neural network with geometric features of corresponding nodes of a preset BIM model to obtain weld joint and bolt distance difference information; a phased array microwave radar scans the surface of the component, the distance is measured to form multiple sets of data, a three-dimensional point cloud grid is generated through three-dimensional reconstruction, and the three-dimensional point cloud grid is compared with theoretical coordinates of corresponding nodes of the BIM model to obtain space coordinate deviation; and associating the three types of data to obtain a comprehensive deviation, fusing the point cloud to generate an installation quality evaluation report, collecting data through images and radars, combining a twin neural network and a three-dimensional reconstruction technology, comparing actual characteristics of a steel structure with a BIM model, and integrating deviation information to generate a quality evaluation report, thereby realizing comprehensive measurement and evaluation of construction quality.

The invention provides a full-section detection method, device and equipment for reinforcing a steel rail welding seam and a storage medium, and relates to the technical field of nondestructive testing. The method comprises the following steps: respectively arranging a plurality of first phased array probes on rail head treads and rail bottom surfaces of a first steel rail and a second steel rail, and arranging a second phased array probe right above a welding seam; the detection method comprises the following steps: determining optimal parameters of a transducer based on the material of the steel rail, the size of the cross section of the steel rail and the sound pressure intensity at a preset focusing depth position; determining the optimal scanning angle range of the first phased array probe based on the propagation velocity of the ultrasonic longitudinal wave in the wedge block and the steel rail, the propagation velocity of the ultrasonic transverse wave in the steel rail and the Snell's law; and controlling the first phased array probe to carry out sector scanning imaging within the optimal scanning angle range, and controlling the second phased array probe to carry out zero-degree line scanning imaging, so as to detect the full section of the welding seam. According to the invention, the welding seam can be accurately detected without dismounting the clamping plate.