174 results about "Rapid scan" patented technology

The invention relates to the field of man-machine interaction, and particularly discloses a multi-mode man-machine interaction application system for sky-eye insight based on a pathologist visual angle, which is characterized in that firstly, a candidate focus thermodynamic diagram is generated through rapid scanning of a full-slice image, low-power lens global browsing of a doctor is simulated, and the doctor is guided to lock a key area interactively through professional judgment; therefore, the processing efficiency of the oversized image is greatly improved. And then, the system only performs high-resolution deep analysis on the focus confirmed by the doctor, and performs multi-modal fusion on the extracted microscopic visual features and the patient text information to generate a preliminary report with an interpretable basis, so that the problem that the multi-modal function deviates from a clinical core task is solved. Finally, the doctor can check and finalize the report through visual interaction, and the dominant position and the final decision making right of the doctor in the diagnosis process are ensured, so that the bottlenecks of black box operation and low clinical acceptability of a traditional AI system are overcome.

The invention discloses a multi-modal large model hidden danger identification method and system based on feature retrieval enhancement, and relates to the technical field of computer vision. The method comprises the following steps: quickly scanning an input image through a lightweight target detection model, and positioning a hidden danger candidate area; performing feature retrieval in a pre-constructed standard hidden danger knowledge base based on the candidate region to obtain related standard hidden danger reference information; and the candidate region and the reference information are coded and fused and then input into a multi-modal large model, and a fine-grained recognition result containing hidden danger categories, position coordinates, confidence coefficients and professional text description is output. According to the method, a professional knowledge base retrieval mechanism and a multi-modal feature fusion technology are introduced, so that the problems of lack of professional knowledge and insufficient fine-grained discrimination ability in an existing hidden danger recognition method are effectively solved, and the recognition accuracy and the result specialty are improved while the detection efficiency is ensured.

The invention relates to shipbuilding flatness inspection equipment and a use method thereof, and belongs to the technical field of shipbuilding flatness inspection. The shipbuilding flatness inspection equipment comprises a magnetic adsorption type mobile robot platform, a high-precision vision module, an edge computing unit and a cloud data management platform; the magnetic adsorption type mobile robot platform is provided with a crawler-type walking mechanism and a self-adaptive vacuum adsorption unit. According to the invention, efficient and high-precision whole ship flatness intelligent detection can be realized through multi-sensor fusion and a self-adaptive robot platform, the system is suitable for real-time quality monitoring in ship body section construction, deck assembly and fitting-out stages, local fine scanning can be executed along a welding seam area in a ship body section detection scene, and the detection accuracy is improved. A welding deformation out-of-tolerance area is synchronously marked, a non-key plane area can be switched to a global rapid scanning mode, and in the deck assembly stage, a cloud platform can integrate data in real time and assist in carrying out an assembly dislocation correction scheme.

The invention discloses an automatic detection method and system based on the hidden crack characteristic of a photovoltaic module, and belongs to the technical field of automatic detection.The method comprises the steps that an unmanned aerial vehicle carries an infrared thermal imager, a polarization camera and a vibration sensor, heat distribution, surface texture and micro-vibration signals of the photovoltaic module are synchronously collected, and a multi-dimensional hidden crack characteristic data set is constructed; according to the method, the lightweight convolutional network is deployed on the unmanned aerial vehicle, local data processing and subfissure probability value output are realized, cloud dependence is reduced, delay is reduced, the subfissure probability value is weighted and calculated through the infrared thermal anomaly factor, the polarization texture anomaly factor and the edge sharpness factor, environmental noise is effectively suppressed, the detection accuracy is improved, and the detection efficiency is improved. A multi-angle reinspection task is inserted into a high-probability subfissure area, a low-risk area is quickly scanned, a medium-probability area is decided according to electric quantity and priority, when the number of reinspection areas is large, a global optimal path is recalculated, when high-probability subfissure is detected, the current path is interrupted immediately, the reinspection task is inserted, and delay is avoided.

The invention mainly relates to the related technical field of earth and rockfill dam leakage detection, in particular to an earth and rockfill dam leakage detection method based on combination of a transient electromagnetic method and a single-hole dilution method. A leakage hidden danger area is rapidly scanned and positioned through a transient electromagnetic method, a single-hole dilution method is guided to conduct drilling in a key area, and invalid drilling is reduced; on the basis of a traditional dilution curve model, a drilling radius correction factor and a non-Darcy effect correction term are introduced, and the output precision of a vertical seepage profile is remarkably improved; a quantitative mapping model of the resistivity inversion image and the seepage velocity is established, and quantitative conversion from physical detection data to hydraulic parameters is achieved; leakage channel space distribution is automatically extracted based on the image recognition technology, and rapid calculation of the total dam leakage amount is achieved.

The invention relates to the field of intelligent evaluation, and particularly discloses an urban old city community toughness evaluation method and system, and the method comprises the steps: firstly obtaining the multi-modal data of the toughness of a to-be-evaluated old city community, extracting the multi-modal characterization characteristics of the data of the toughness of the to-be-evaluated old city community based on a deep learning technology, and meanwhile, carrying out the evaluation of the toughness of the to-be-evaluated old city community; the method comprises the following steps: firstly, extracting a preset number of multi-modal characterization characteristics of evaluated old city communities and corresponding toughness level labels from a background toughness database, so as to construct an association representation of the toughness data characteristics of the evaluated old city communities and an evaluation result; through rapid scanning semantic query of toughness data characteristics of the old city community to be evaluated and the evaluated old city community, toughness grade evaluation of the old city community to be evaluated is realized. Thus, through effective utilization of historical evaluation cases, the problem of insufficient similarity and difference analysis among different communities can be effectively solved, confusion among categories is reduced, and the consistency and accuracy of evaluation results are improved.

The invention relates to the technical field of wireless communication, and provides a vehicle-mounted satellite phased-array antenna and a beam forming method thereof, and the phased-array antenna comprises a plurality of antenna units and T / R assemblies which are correspondingly connected. The feed network is used for distributing signals from the beam forming network to each T / R component; and the beam forming network is used for calculating and distributing a phase to each T / R component, and adopting an adaptive beam forming algorithm to control the direction of a beam by adjusting the phase, so that the beam points to a required satellite or other targets. The phased-array antenna can form a plurality of transmitting wave beams and receiving wave beams with different directions through wave beam conversion in a repetition period, has rapid scanning agility capability, can change an antenna pattern function or an antenna wave beam shape through adjusting signal amplitude and phase in each unit channel in the phased-array array, and improves the antenna performance. The reliability is improved by omitting a mechanical driving system, and even if some nodes are damaged, the use of the whole function is not affected.

A high-temperature and high-pressure core displacement test system includes a CT scanner configured to perform CT scanning, a gripper system configured to grip a core, a machine tool configured to move the gripper system to the CT scanner for CT scanning, a gripper load control system configured to heat and input a fluid into or / and receive a fluid output from the gripper system, and an acquisition and data analysis system configured to acquire a temperature and a pressure within a core gripping cavity, and detection data of the CT scanner and strain rosettes for analysis. According to the high-temperature and high-pressure core displacement test system and method, the strength of the gripper system in a high-temperature and high-pressure environment is improved, the projection performance of CT rays is ensured, and the optical fiber positioning precision and the core deformation measurement precision in a CT rapid scanning state are improved.

The invention relates to a high-angular-resolution atmospheric detection laser radar acquisition and control system, and belongs to the technical field of atmospheric detection laser radar data acquisition. The system comprises an ARM main control module, an acquisition card and a scanning module, wherein the ARM main control module is internally provided with a multi-core CPU (Central Processing Unit), and when the system runs, a data reading process, a data processing process and a data storage process are respectively distributed to different cores of the multi-core CPU for parallel execution; the ARM main control module is used for issuing an instruction to the acquisition card and reading a hardware accumulation result of the acquisition card for processing and storing; the scanning module is controlled by the ARM main control module to perform continuous scanning; and the acquisition card is used for performing high-angle-resolution acquisition on aerosol observation data obtained in the continuous and rapid scanning process of the scanning module according to an instruction of the ARM main control module. According to the invention, the real-time monitoring capability of aerosol space-time distribution in a complex atmospheric environment is improved.

The invention provides a multi-focus excitation confocal fluorescence microscopic imaging flow cytometry screening method. The method is characterized in that a laser beam generates three laser beams through a spatial light modulator, and the three laser beams are coherently superposed in a focal plane of a microscope objective to generate a two-dimensional optical lattice light field. And after the other laser beam is shaped by the cylindrical lens, linear laser optical tweezers are realized through the microscope objective, cells to be detected in an imaging detection area of the micro-flow chip are captured, and accurate active optical control on the rotation angle of the cells to be detected is realized. In a cell rotation process, a two-dimensional optical lattice light field rapidly scans in a focal plane at different angles, and a fluorophore in the cell is excited to generate a fluorescence signal. The confocal pinhole array installed at the position conjugate with the focal plane eliminates background fluorescence, a high-spatial-resolution fluorescence image of a three-dimensional structure in the cell is obtained, and cell screening is achieved. The method provided by the invention has the characteristics of high detection rate, high accuracy and the like, and has wide application prospects in the research fields of biology, medicine and life science.

The invention provides a pollen image rapid scanning method under a high-magnification microscope based on retrieval guidance of a low-magnification microscope. The method comprises the following steps: firstly, rapidly scanning a 1000 mm < 2 > region under a whole cover glass through a low-magnification microscope, identifying pollen particles possibly existing in the region, and establishing a prior distribution diagram; and then, in a high-power microscope scanning stage, fine imaging is only carried out on the pollen of the potential target areas, and the areas which are confirmed to be blank are quickly skipped. Compared with a traditional full-area high-power microscope scanning scheme, the intelligent scanning method based on low-power microscope guidance can remarkably reduce invalid imaging time and improve the overall detection efficiency.

According to the embedded rapid scanning system, a detection device is vertically arranged on an installation support, the installation support is fixed to the position above a production line through two stand columns, an antenna can be placed on the production line after being produced and flows backwards, and when the antenna flows to the position below the detection device, the detection device is based on the near-field scanning and far-field conversion technology; the device transversely moves above an antenna radiation surface, samples a near field, measures amplitude and phase values of an oscillator, can also convert the amplitude and phase values into a vertical plane far-field directional diagram, extracts radiation parameters, is simple and rapid in test process, takes a production line as a workbench, does not need to be additionally provided with a workbench, reduces the size, is embedded in the production line, and improves the test efficiency. And when one antenna is tested to be unqualified, interception can be directly carried out, so that the yield of products is ensured.

The invention relates to the technical field of software security, and particularly discloses a real-time vulnerability detection and repair system of an AI code generation model. The system comprises a central coordinator, a real-time monitoring module, a deep analysis module, an intelligent repair module and a feedback learning module. The real-time monitoring module rapidly scans and triggers the generated codes; the deep analysis module performs interprocess stain analysis on the trigger code to generate a diagnosis report containing a precise data flow path; the intelligent repair module generates a repair patch under the function equivalence constraint according to the diagnosis report; and the feedback learning module collects the processing feedback of the developer on the repair patch, and drives the continuous optimization of each module of the system. According to the method, through layered progressive analysis and repair generation, the repair accuracy and the function safety are ensured; through a feedback learning mechanism, the self-adaptive evolutionary ability of the system is realized, the problems of unavailability of repair suggestions and static stiffness of the system in the prior art are solved, and real-time protection is provided for AI auxiliary programming.

The invention discloses a GDMD Lamb wave structure nondestructive testing method for rapid scanning, and relates to the technical field of Lamb wave structure nondestructive testing, and the method specifically comprises the steps: 1, collecting low signal-to-noise ratio Lamb wave excitation echo data, carrying out the analysis of the collected signal in a frequency domain, and obtaining a GDMD Lamb wave structure nondestructive testing result; the method comprises the following steps of 1, setting a signal decomposition process, 2, setting an initial group delay curve of each Lamb wave mode, and carrying out iteration by adopting a GDMD algorithm, and 3, analyzing each decomposed component mode, extracting a defect echo mode, and further carrying out time delay analysis to determine a defect position. By fitting and compensating dispersion characteristics of different modes, accurate separation of the modes is achieved, even under the conditions that frequencies of the different modes are overlapped and the signal-to-noise ratio is extremely low, defect echoes can be effectively extracted, and dependence of a traditional filtering method on prior statistical characteristics is avoided.

The invention discloses a wide-spectrum rapid scanning and intelligent identification method, system and device, and the method comprises the steps: firstly, carrying out the rapid frequency sweeping through employing a low-sampling-rate and low-quantization-precision receiver, generating a low-resolution time-frequency graph, and recovering the super-resolution of the low-resolution time-frequency graph into a high-resolution spectrum through a pre-trained deep learning model; then, the enhanced time-frequency image is segmented into time-frequency blocks, global features are extracted through a Transform encoder, and detection and screening of multiple candidate signal areas are achieved; and finally, carrying out directional sampling on the candidate region, respectively extracting time domain and frequency domain features, mapping the time domain and frequency domain features to a unified space for fusion, and completing signal category judgment based on the combined features and a judgment network. According to the wide-frequency-spectrum rapid scanning and intelligent identification method, system and device, through a layered architecture of broadband rapid scanning-frequency spectrum quality recovery-multi-region detection-directional sampling and time-frequency fusion identification, the reliability of unmanned aerial vehicle signal detection and identification in a complex electromagnetic environment is improved while the hardware cost is reduced.

The invention discloses a laser telemetering two-dimensional scanning imaging device and a method thereof, and relates to the field of gas spectrum detection. Through two-dimensional intermittent scanning, concentration field measurement of a scene is realized, and rapid leakage diagnosis and evaluation and rapid positioning of a leakage point can be realized. In the concentration measurement process, laser spots are static, motion noise cannot be introduced, and the concentration measurement accuracy is improved; intermittent movement of light spots is achieved through optical modulation, a complex intermittent movement mechanism is not needed, the cost is more economical, and the service life is longer; in the two-dimensional scanning process, a mechanical scanning device does not need to be started and stopped frequently, time consumption caused by the acceleration and deceleration process of motion is reduced, the frame rate of system scanning is improved, and rapid scanning of the high-dynamic gas cloud is achieved.

The invention discloses ground-to-air laser radar detection equipment, a detection method and a storage medium, and relates to the technical field of optical detection. The equipment comprises a laser transmitting module, an echo receiving module and an information processing module, the laser transmitting module comprises a laser, a scanning galvanometer unit and a scanning rotating mirror unit, the scanning galvanometer unit is used for controlling a longitudinal scanning angle, the scanning rotating mirror unit is used for controlling a transverse scanning angle, and a pulse signal transmitted by the laser sequentially passes through the scanning galvanometer unit and the scanning rotating mirror unit and then enters a to-be-measured airspace; the echo receiving module is used for receiving an echo signal of a to-be-detected airspace; and the information processing module is used for calculating return point coordinate information of the target object in the airspace to be measured according to the transmitting time of the pulse signal, the receiving time of the echo signal, the transverse scanning angle and the longitudinal scanning angle, and generating a three-dimensional point cloud image of the target object based on the return point coordinate information. The device provided by the invention is simple in structure, can scan quickly, and realizes point cloud three-dimensional imaging with a wide viewing angle.

This invention belongs to the field of optical precision testing technology, and provides a method and system for three-dimensional detection of mirror defects using combined bright-field and dark-field imaging. The method includes: rapidly scanning the surface of the component under test using a bright-field imaging system; identifying defects and obtaining their location coordinates using a rapid defect detection algorithm; based on the defect location coordinates, switching to a dark-field microscopy system to image the defect area and acquiring both in-focus and out-of-focus images; performing a second precise determination of the defect; and calculating the length and width parameters of the defect using a precise measurement algorithm; reconstructing the three-dimensional morphology of the defect using the in-focus and out-of-focus images combined with a phase retrieval algorithm based on the light intensity transmission equation, thereby completing the three-dimensional measurement of the mirror defect. This invention enables rapid and accurate three-dimensional measurement of defects.

1. Name of the design product: millimeter wave human body security inspection equipment. 2. Use of the design product: the design product belongs to security inspection equipment, and is used for non-contact rapid scanning on the surface of human body. 3. Design points of the design product: in shape. 4. Picture or photo best indicating the design points: assembly 1 perspective view 1.

The invention provides a seamless steel tube closed-loop processing method based on online in-situ monitoring, which comprises the following steps: when a steel tube reaches a preset online in-situ monitoring station, imaging and identifying the surface of the steel tube through a high-resolution visual system, and planning a plurality of microscopic detection stations; carrying out multi-mode rapid scanning on the surface of the steel pipe by utilizing an atomic force microscope at each microscopic detection site, extracting microscopic characteristic parameters in real time, and forming a microscopic fingerprint data packet of the current steel pipe; inputting the microscopic fingerprint data packet into a pre-trained process inversion model to generate a process adjustment instruction; and the process adjustment instruction is issued to a corresponding execution mechanism in real time through a production line control system, the machining parameters of the current steel pipe or the subsequent steel pipe are adjusted, and microcosmic quality closed-loop control is formed. According to the technical scheme provided by the invention, the crossing from fixed process machining to self-adaptive microstructure regulation and control machining is realized, and the microstructure consistency and the machining precision of the seamless steel tube are improved.

The utility model relates to the technical field of material surface treatment, in particular to a scanning type laser shock peening device which comprises a working table, a front baffle and a rear baffle are fixedly connected to the front side and the rear side of the working table, a right vertical plate is fixedly connected to the right side of a supporting plate, and a transverse supporting plate is fixedly connected between the left vertical plate and the right vertical plate. An adjusting screw rod is arranged at the front end of the transverse supporting plate, a C-shaped frame is arranged on the adjusting screw rod, a protective shell is arranged on the C-shaped frame, a laser generation module and a scanning module are fixedly connected into the protective shell, a protective cover is fixedly connected to the front end in the protective shell, and a monitoring feedback module is fixedly connected into the protective cover; the laser generating module, the scanning module, the monitoring feedback module, the threaded lead screw, the adjusting lead screw and the C-shaped frame are used in cooperation, through rapid scanning of the two-dimensional scanning galvanometer and cooperation of the multi-degree-of-freedom motion platform, the surface of a workpiece can be rapidly covered, the processing time is greatly shortened, and the production efficiency is improved.

The application discloses a kind of fast electrochemical impedance test methods applied to fuel cell low temperature start, belong to fuel cell detection technical field.The method is aimed at the problem that traditional electrochemical impedance spectrum test time is too long, cannot satisfy the difficulty of quick real-time monitoring in low temperature start process, first, by simulating water flooding and cathode blockage fault at normal temperature, construct multi-working condition impedance database;Further combined with equivalent circuit modeling and machine learning algorithm, 3~4 characteristic frequency bands most sensitive to fault state are selected from full-band data;Finally, in the process of fuel cell low temperature start, only the disturbance signal of these characteristic frequency bands is applied to the battery for fast scanning.The method shortens the single test time from traditional 2~5 minutes to 10~15 seconds, realizes the real-time, accurate diagnosis to membrane electrode icing and liquid water blockage and other key states, and provides an effective tool for optimizing fuel cell low temperature start control strategy.

The invention relates to a rapid scanning type laser active detection system based on laser angle on-line control, and the system comprises an adjustable beam expanding optical unit which can continuously adjust the beam expanding multiplying power on line through position closed-loop control; the scanning detection execution unit can perform large-range search and can compensate image motion caused by carrier motion and continuous scanning, and a variable-speed spiral scanning mode with high probability of finding a target is adopted as a scanning mode; the off-axis beam expanding unit is used for further compressing a laser divergence angle; the photoelectric imaging system can splice scanned images on line, so that the scanning process is clearer and more visual; and the time sequence control unit assists in image motion compensation control. The scanning process can be rapidly completed, imaging is clear in the scanning process, and the scanning result can be directly presented.

The invention relates to a miniature stress detector, which comprises a light emitting assembly, a detection head and a light receiving assembly, and is characterized in that the light emitting assembly is used for providing a scanning light beam for the detection head; the detection head is used for scanning the surface of the to-be-detected target after receiving the scanning light beam and generating a polar Kerr effect on the surface of the to-be-detected target; and the optical receiving assembly is used for receiving an optical signal fed back by the detection head under the polar Kerr effect and converting the optical signal into stress in the target to be detected. A stress detection method is provided. According to the invention, a light system is constructed by combining the light emitting assembly and the light receiving assembly, so that the detection head can detect the stress in a to-be-detected target by using the polar Kerr effect, the explosion risk is eliminated by using a non-electromagnetic sensing technology, the lift-off effect is overcome by using optical locality measurement, the size of the probe is reduced, and the detection precision is improved. An intrinsically safe and high-precision technical means is provided for rapid stress state scanning in a high-risk environment, and the safety of high-value targets in key industrial fields such as electric power, petrochemical engineering and aerospace is guaranteed.

The application belongs to the technical field of laser processing equipment, and discloses a light beam deflection mechanism applied to rapid scanning of a soft ceramic laser drilling and cavity opening equipment, comprising a two-dimensional acousto-optic deflection assembly, a radio frequency driving control system, a precision adjustment fixing assembly, an optical auxiliary assembly and a cooling and heat dissipation assembly, wherein each assembly is cooperatively matched and linked with an equipment galvanometer system and an XY moving platform; after being optimized by the optical auxiliary assembly, a laser beam is incident into the two-dimensional acousto-optic deflection assembly, the radio frequency driving control system is adjusted to realize high-precision and rapid deflection of the light beam, the precision adjustment fixing assembly guarantees positioning accuracy, and the cooling and heat dissipation assembly controls thermal effects. The application realizes 0.1 mu rad deflection accuracy and 1 mu s scanning switching speed, controls the soft ceramic processing thermal effect area within 5 mu m, and can satisfy fine processing of through holes, buried holes, blind holes and <50 mu m micro holes.

The application provides an adaptive atomic force microscope (AFM) imaging method based on block compressed sensing, and comprises the following steps: step S1: a plurality of sub-blocks with the same size are divided on the surface of an AFM sample by using an overlapping block mode; step S2: each sub-block is pre-scanned, a row direction is taken as a fast scanning direction, a lower left corner is taken as a starting point of pre-scanning, and a pre-scanning sampling rate is calculated; step S3: a BP neural network is used to train a sample database, a relationship between a characteristic parameter and a required minimum sampling rate is obtained, and a suitable total sampling rate of each sub-block is adaptively obtained; step S4: a required number of sampling points are randomly selected on the surface of a current sub-block, and adaptive scanning is performed by using a continuous random scanning mode; and step S5: after all sampling points of a sub-block are collected, TVAL3 reconstruction algorithm is combined to perform reconstruction, and finally, all reconstructed sub-blocks are combined together; and the block effect is eliminated by using the overlapping block mode, so that each sample can obtain high and uniform imaging quality.

The invention relates to the technical field of semiconductor lasers, in particular to a broadband wavelength fast scanning laser which comprises a base, a laser gain chip and a sleeve are installed on the base, and the sleeve surrounds the laser gain chip and extends along the light emitting side of the laser gain chip; a movable reflecting mirror is movably arranged in the sleeve, and the movable reflecting mirror and the laser gain chip are oppositely arranged to form an optical resonant cavity; a conductor piece is arranged on the movable reflecting mirror, and a driving coil is arranged outside the sleeve in a surrounding manner; when variable current is introduced into the driving coil, a variable magnetic field is generated in the sleeve, and the variable magnetic field enables electromagnetic force to be generated on the conductor piece so as to drive the movable reflector to move relative to the laser gain chip, so that the cavity length of the optical resonant cavity is changed. The technical problem that an existing tunable MEMS-VCSEL cannot give consideration to the broadband tuning range and the high scanning speed at the same time is solved.

The invention relates to the technical field of ultrasonic nondestructive testing and three-dimensional imaging, and provides an image enhancement method based on TransUNet beams. According to the method, training data is generated through acoustic simulation, a low-quality two-dimensional image obtained through single-angle plane wave excitation serves as network input, and a high-quality image obtained after multi-angle data coherent composite processing serves as a label. The constructed TransUNet deep neural network combines the multi-scale feature extraction capability of a convolutional network and the long-range dependence modeling advantage of a Transform module, and is used for learning the accurate mapping relation from sparse data to a high-resolution image. In practical application, the method can perform frame-by-frame enhancement on each cross-section image obtained by single-angle rapid scanning, and finally synthesize a high-precision three-dimensional image, so that efficient and accurate image enhancement of sparse data is realized.

The invention belongs to the field of coal mine roadway surveying and mapping, and relates to a handheld mining intrinsic safety type live-action scanner and a using method thereof, the scanner comprises a main cavity assembly, a laser radar assembly, a grip assembly, a camera, a shoulder strap and the like, and handheld rapid scanning is achieved through lightweight design. Three independent intrinsically safe power supplies are used for supplying power, so that the equipment has intrinsically safe explosion-proof capability and adapts to a coal mine tunnel environment. The integrated camera synchronously collects environment texture color information, and provides basic data for constructing a live-action model. During use, data acquisition is performed by pressing the rotary start button and the acquisition button, and data can be downloaded in a wired or wireless manner after acquisition is completed. The data acquisition efficiency is improved, the equipment weight is reduced, and the device is convenient to carry and install.

The invention relates to a non-intrusive fast scanning identification method and system for MEMS resonant frequency, and belongs to the technical field of MEMS device detection.The method comprises the steps that an extremely-low-power broadband detection signal is emitted, a high-sensitivity receiver is used for capturing a weak harmonic wave or intermodulation response signal generated by coupling of the signal and a target MEMS device mechanical structure, and the weak harmonic wave or intermodulation response signal is obtained; after amplification and noise reduction preprocessing, a matched filtering or correlation analysis algorithm is adopted to process a response signal, the resonant frequency of the target MEMS device is rapidly and accurately extracted under the extremely low signal-to-noise ratio, and the whole recognition process does not interfere with normal work of the device. According to the method, a target device does not need to be contacted or interfered, the technical problems that a traditional MEMS resonant frequency identification method is high in invasiveness, low in signal-to-noise ratio, poor in identification precision and low in identification efficiency are solved, and the method has the advantages of being non-invasive, rapid in identification, high in precision and wide in adaptability and is suitable for resonant frequency detection scenes of various MEMS sensors and resonators.