307 results about "Rapid scan" patented technology

The invention relates to the field of intelligent detection, and discloses a breakwater structure rapid scanning diagnosis method based on an unmanned aerial vehicle, and the method comprises the following steps: 1, collecting the multi-modal data of an overwater structure and an underwater structure of a breakwater through a sensor carried by the unmanned aerial vehicle; step 2, carrying out space-time alignment processing on the multi-modal data to generate fusion point cloud data; 3, constructing a multi-dimensional tensor representing damage features based on the fused point cloud data; step 4, uploading the damage classification result to a cloud; 5, dynamically adjusting the scanning path planning of the unmanned aerial vehicle according to the damage classification result and the real-time environment parameters; and 6, outputting a three-dimensional visualization result containing the damage position, the damage type and the emergency scheme. Through cross-medium cooperative acquisition of the millimeter wave radar, the sonar and the multispectral sensor, the coverage range and the information dimension of damage detection are expanded, and reliable data are provided for breakwater structure monitoring in a complex marine environment.

The invention discloses a patterned wafer defect detection system and method based on double-optical-comb space-time coding, and the system comprises a double-optical-comb light source module, a space coding illumination module, a time programming control module, a signal collection and processing module, and a data analysis and processing module. And the data analysis processing module receives and analyzes the restored three-dimensional shape information of the surface of the wafer to be detected, extracts defect related characteristics, establishes a mapping relation between spectral characteristics and defects, and identifies the defects on the surface of the wafer to obtain corresponding defect types and position information. According to the invention, a wafer defect detection technology based on double-optical-comb space-time coding is adopted, rapid scanning and parallel detection are realized by using a double-optical-comb interference technology, the detection efficiency is greatly improved, and absolute distance information of the wafer surface can be obtained. The result is fed back to the precise air floating motion platform, so that an automatic focusing optical path system and a feedback control part can be omitted, the detection efficiency is improved, and the size, complexity and cost of the whole wafer detection system are reduced.

The invention discloses a fire-fighting non-destructive detection method based on multi-modal detection, and relates to the technical field of fire-fighting engineering, and the method comprises the following steps: carrying out the rapid scanning of fire-fighting equipment through an ultrasonic array, analyzing and positioning a suspected defect region based on a time domain reflection signal, and generating a three-dimensional coordinate mapping model; and performing multi-angle X-ray projection acquisition on the positioning area, and generating an internal structure cross-sectional image through a three-dimensional reconstruction algorithm. According to the fire-fighting non-destructive detection method provided by the invention, by integrating various technical means such as ultrasonic array scanning, X-ray tomography, thermal imaging analysis and microwave sealing detection, comprehensive and accurate identification of potential defects of fire-fighting equipment is realized, and the dimensionality and precision of defect detection are improved; the structural integrity of the equipment is kept to the maximum extent, extra risks caused by destructive detection are avoided, and the reliability and accuracy of detection are improved through a data fusion algorithm.

The invention discloses a coordinate measuring machine and a coordinate measuring method, the coordinate measuring machine comprises a rack, a workbench, a moving frame and a measuring assembly, the workbench is arranged on the rack and is used for placing a workpiece to be measured; the measuring assembly comprises a laser scanning measuring head and a contact type measuring head, the laser scanning measuring head and the contact type measuring head are both arranged on the moving frame, the laser scanning measuring head is used for conducting non-contact type three-dimensional scanning measurement on the workpiece to be measured, and the contact type measuring head is used for conducting contact type precision measurement on the workpiece to be measured; wherein the movable frame can move relative to the to-be-measured workpiece so as to drive the contact type measuring head to be in contact with the to-be-measured workpiece for measurement, or drive the laser scanning measuring head to carry out scanning measurement under the condition that the laser scanning measuring head is not in contact with the to-be-measured workpiece. According to the technical scheme, the laser scanning measuring head and the contact type measuring head are integrated on the same coordinate measuring machine, seamless switching between non-contact type rapid scanning and contact type precision measurement is achieved, and the flexibility and efficiency of measurement are greatly improved.

The invention relates to the technical field of plasma generators, and particularly discloses a self-adaptive control system and method of a plasma generator, and the method comprises the steps: carrying out the feature extraction of a voltage time sequence data set, a current time sequence data set and a plasma density time sequence data set through employing a data analysis and coding technology based on deep learning, meanwhile, time sequence feature extraction is carried out on curves of voltage, current and plasma density which correspond to each control mode and change along with time; therefore, the optimal control mode of the target plasma generator is intelligently screened out according to the fast scanning semantic query representation between the multivariable time sequence implicit cooperation feature of the plasma generator and the multivariable time sequence implicit coding feature of each control mode. By means of the mode, the future parameter change trend can be predicted more accurately, the optimal control mode can be intelligently screened out, and compared with a traditional threshold value judgment method, early warning can be carried out in advance before the parameters are close to but do not exceed the safety range.

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 a low-delay low-coupling multi-channel analog video signal processing system and method, electronic equipment and a storage medium, aiming at the limitation of the existing multi-channel video processing technology, hardware such as an analog signal receiving board, a controller, a video processing development board, a computing power development board and a serial port receiver and software technologies such as Python and Gstreamer are adopted. The method comprises the steps of signal receiving, frequency point screening, video processing and transmission, intelligent identification, layout customization and the like. The system achieves the positive effects of centralized computing power processing, accelerated calculation, rapid frequency point scanning, low-delay picture display, user-defined layout, convenient access to an intelligent identification module and the like, and is suitable for various actual scenes under analog video signals.

A method based on a rapid focusing strategy of a stereomicroscope comprises the following steps: S100, performing large-step coarse adjustment on an image acquired by the stereomicroscope, and acquiring a position with a maximum definition value by combining image acquisition time and motor operation speed as synchronous coarse adjustment; and S200, small-step search fine adjustment is carried out near the position with the obtained maximum definition value, and the final clearest position is obtained. According to the method, an appropriate coarse adjustment step length is firstly selected for rapid scanning to save time, and automatic adjustment is performed near a maximum value obtained after coarse adjustment to fine scanning, so that the accuracy of the focusing process is ensured, and focusing convergence is accelerated. According to the method, the focusing efficiency and accuracy are remarkably improved, and extremely high application potential and popularization value are shown.

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.

The invention discloses a scanning device of a single-photon laser radar three-dimensional imaging system for a dynamic target, and belongs to the field of laser radar optical design. The system comprises a laser emission subsystem, a light path subsystem, a detection subsystem, a data acquisition and processing subsystem, a control subsystem and a two-dimensional rotary table, the laser emission subsystem generates laser beams, and the light path subsystem emits the laser beams to a detection target area and receives scattering echo signals; scattered echo signals are subjected to sum-frequency conversion and angle calculation to obtain point cloud information, the detection subsystem collects the point cloud information, and the data processing system reconstructs a dynamic three-dimensional image of a to-be-detected target according to two-dimensional scanning distribution information and the point cloud information. The device is used for carrying out three-dimensional laser imaging on a dynamic cooperative target under single-photon detection, the frequency up-conversion technology and the rapid scanning assembly are combined, the space scanning efficiency is improved, and the problem of long-distance dynamic target detection in existing single-photon detection is solved.

The invention relates to the technical field of electromagnetic radiation measurement, and discloses a near-field scanning system and a rapid scanning method for electromagnetic radiation measurement. The near-field scanning system comprises a data acquisition unit, a probe control moving unit and a control unit; the data acquisition unit comprises a vector network analyzer and a spectrum analyzer which are used for frequency domain measurement, an oscilloscope and a radio frequency signal source which are used for time domain measurement, and a near-field electromagnetic probe; the probe control moving unit is used for controlling the near-field electromagnetic probe to move along a set route in the X direction, the Y direction and the Z direction; the control unit is used for synchronously controlling the data acquisition unit and the probe control moving unit; according to the rapid scanning method, by judging the gradient amplitude and the local self-adaptive threshold value of each scanning point, the scanning points are encrypted at the place where the electromagnetic field changes rapidly, rough scanning is carried out at the place where the electromagnetic field changes slowly, and compared with equal-interval uniform sampling, the number of the scanning points can be reduced, and the efficiency of a near-field scanning system can be improved.

The invention provides a scanning chip, a scanner, a scanning system and a scanning method for realizing double scanning modes. The scanning chip comprises an image input port, a multi-path input switch, a depth calculation engine and an output port so as to respond to a high-precision scanning mode or a rapid scanning mode to process left and right feature image data acquired by a three-dimensional scanner; in a high-precision scanning mode, left and right feature images are received through an image input port and enter a multi-path input switch so as to allow the left and right feature images to be output through an output port; in the fast scanning mode, left and right feature images are received through the image input port and enter the multi-path input switch, so that the left and right feature images are allowed to enter the depth calculation engine for stereo matching processing to obtain a disparity map or a depth map or light stripe extraction processing to obtain left and right interested images, and the left and right interested images are output through the output port. The three-dimensional scanner applying the scanning chip has different measurement precisions and can meet the scanning requirements of different application scenes.

The invention relates to the technical field of dam termite prevention and control in water conservancy and hydropower engineering, in particular to a dam termite nest positioning method and detection equipment based on intelligent multi-mode fusion, which utilizes technologies such as geological radar, infrared thermal imaging, RTK (Real Time Kinematic) and GPS (Global Positioning System) positioning and is assisted by a machine learning algorithm to carry out data processing. An infrared thermal imaging camera carried by a crawler chassis is used for rapidly scanning the surface of a dam and finding out temperature abnormal points which may be termite activity areas, an underground high-resolution image is further obtained through a carried ground penetrating radar, meanwhile, coordinate information of the areas is collected, a high-precision dam area map is combined, and the termite activity area is obtained. The termite nest position is further accurately confirmed; by means of the method, the accuracy and efficiency of dam termite nest positioning can be remarkably improved, meanwhile, the environmental pollution risk caused by a traditional method is reduced, and the method is beneficial to protection of safe and stable operation of a water conservancy project and makes a contribution to environmental protection.

The grating pitch measurement device and method of the present invention relate to the field of grating detection, and solve the problem of the influence of human operation on the accuracy and the complexity of the system during high-precision detection. The above problems are solved by combining the grating diffraction interference principle with the grating phase shift theorem, and the Littrow diffraction light phase interference of the symmetrical structure is adopted. When the grating moves one pitch, the phase of its diffracted light changes by one cycle, and the phase of the Littrow diffraction light interference of the symmetrical structure changes by two cycles. The difference frequency phase detection principle and high-power electronic subdivision technology are used to detect the diffraction light interference phase change, and then the dual-frequency laser ranging system is used to detect the grating movement distance. Through the rapid scanning of the high-precision two-dimensional workbench, the grating pitches of different line densities can be detected with high precision.

The invention discloses a valve body laser cutting device and method. The method comprises the steps that low-duty-ratio pulse scanning is conducted on the outer wall of a valve body to generate a guide groove with a surface tension gradient and corrugated textures; spraying inner and outer double-layer pulse airflow according to the characteristics of the guide groove, and respectively forming a periodic negative pressure cavity and positive pressure barriers on two sides at the bottom of the groove; spiral track continuous laser cutting is executed under the action of double-layer airflow, transverse ultrasonic waves forming a three-to-four resonance relation with inner-layer pulse airflow are applied, standing wave diversion is established on the surface of a molten pool, and a kerf penetrating through the wall thickness is obtained; when the kerfs are cut through, the airflow is synchronously switched into negative pressure suction, and ultrasonic waves are changed into traveling waves so as to remove residual molten drops; and low-power rapid scanning is conducted on the inner wall of the kerf through waste heat of the valve body, pulsating inert airflow is injected at the same time, and the residual film is alternately stripped through laminar flow and micro-turbulent flow. According to the scheme, under the condition that extra cooling or chemical treatment is not added, slag rewinding can be restrained.

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 discloses an LCD segment code screen driving display method. The method comprises the following steps: step 1, carrying out parameter configuration; step 2, scanning a single common port, specifically comprising the following steps: step 21, scanning the common port, and generating a common port scanning enable signal; step 22, the scanned common port output signal is stored in a data output register; step 23, continuing to scan all the corresponding segment selection ports, and generating a data shift enable signal; step 24, updating and storing the output data of the currently scanned segment selection port in a data shift register; 3, driving the LCD segment code screen to display according to the output levels of the public port and the segment selection port; step 4, traversing the step 2 and the step 3 for all public ports; and a complete broken code screen display process is completed. According to the invention, the shift register is used for replacing an external special data storage device, and the data is shifted in sequence in a mode of rapidly scanning the port and is output to the final control interface, so that the required data is displayed.

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 discloses an automatic defect detection system and method based on unsupervised learning, and belongs to the technical field of automatic detection. The method comprises the following steps: S1, collecting data including image data, temperature and humidity data and vibration data; s2, carrying out preprocessing and feature extraction on the collected data; s3, performing defect detection on the extracted feature data by adopting a trained YOLOv4 model and a trained Faster R-CNN model to obtain the type and the position of a defect; s4, performing corresponding execution and / or feedback operation according to the detected defect type and position; in the step S3, the image is quickly scanned by using a YOLOv4 model to generate a large number of candidate frames; inputting the candidate box into a Faster R-CNN model to further screen out a high-quality candidate region, and performing fine classification and bounding box regression; and results of the two models are fused to obtain a final detection result. The method can insight in fine defects which are difficult to capture by a traditional algorithm, and the accuracy and reliability of detection are remarkably improved.

The invention discloses a method for identifying harmful information in short message content based on big data, and relates to the technical field of data management.The method for identifying the harmful information in the short message content comprises the steps that multiple kinds of harmful short message historical samples are collected to construct a harmful information sample set containing different languages and types; the recognition capability of the model on multilingual harmful information is improved; short message data are input to the recognition model in real time, potential harmful information can be detected in time, manual intervention is reduced, and the processing efficiency is improved; the first module screens out suspicious short messages through quick scanning, marks potential risk data and ensures efficient concentration of subsequent analysis; the second module improves the recognition accuracy by deeply analyzing character features; sending characteristics are analyzed through a third module, high-risk users can be identified, targeted precautionary measures are formulated, and safety monitoring is dynamically adjusted; therefore, harmful information diffusion is effectively reduced, and communication environment safety is ensured.

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.

The utility model discloses a trolley for rapidly scanning a rail bottom. The trolley comprises a frame assembly, a rotating assembly, an ultrasonic flaw detector host, a coupling liquid barrel and a battery assembly, the rotating assembly can be rotationally connected with the two sides of the bottom of the frame assembly; the ultrasonic flaw detector host is connected to the frame assembly and is connected with the water wheel of the rotating assembly; the coupling liquid barrel is connected with the frame assembly and connected with the spray head body on the rotating assembly. The battery assembly is connected with the frame assembly and the rotating assembly. The utility model has the beneficial effects that the use is more efficient and more convenient; damage identification can be performed on the inner and outer rail bottoms of the steel rail at the same time; the rail bottom rapid scanning trolley is a beneficial supplement for steel rail flaw detection, improves all-directional recognition of the damage condition of the whole steel rail, and improves the detection efficiency and the recognition rate.

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 provides an intelligent auxiliary system and method for gastrointestinal nursing teaching, and relates to the field of intelligent assistance, and the method comprises the steps: firstly, extracting a part where a user answers mistakenly from an evaluation test report, and carrying out the content segmentation and semantic coding of the part through employing a semantic analysis and processing algorithm based on artificial intelligence; and meanwhile, semantic coding is performed on the learning demand description, so that the type of the learning material is intelligently recommended according to rapid scanning semantic query representation between the semantic coding features of the learning demand of the user and the semantic coding features of the wrong content segments answered by the user. Therefore, the learning demand of the user and the specific content of the answer error can be deeply understood, and the semantic interaction information between the learning demand and the answer error can be captured, so that the knowledge blind spot and the learning demand of the user can be accurately identified, the learning material suitable for the user can be accurately recommended in real time, and the pertinence and effectiveness of recommendation are improved.