126 results about "Single scan" patented technology

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 relates to the field of three-dimensional vision measurement, in particular to an aluminum alloy CNC product defect detection method and system based on structured light scanning. The aluminum alloy CNC product defect detection system based on structured light scanning comprises an image acquisition and analysis module, a self-adaptive illumination control module, a point cloud reconstruction module, a defect detection module and a report generation module. According to the method, through texture direction perception and matrix type light source dynamic angle modulation, and in combination with a light intensity-wavelength self-adaptive scheme of saturated pixel grading, mirror surface glare of the aluminum alloy high-reflection surface is greatly reduced; in cooperation with multi-exposure gray scale weighted fusion, a stripe image which is uniform in contrast and free of overexposure can be obtained in single scanning; in the same scanning time, compared with a fixed illumination scheme, the point cloud integrity rate can be improved, and a more reliable three-dimensional data basis is provided for subsequent defect detection.

The invention discloses a confocal full-Mueller matrix imaging device and method based on an optical fiber metasurface array, and belongs to the technical field of polarized optical imaging. The device comprises an optical fiber array multi-polarization illumination module, a sample scanning module, a scattered light transmission module, a metasurface array polarization modulation module and a polarized light intensity detection module. The polarization states of four beams of light are regulated and controlled through the optical fiber polarization controller, and four illumination focal spots in different polarization states are generated on a sample plane at the same time; sample scattered light is modulated by a polarization measurement metasurface array comprising four independent metasurface units, and the polarization state of each path of optical signals is projected to sixteen polarized light spots which are spatially separated; and finally, acquiring light spot intensity information by an area array detector, and reconstructing a full-Mueller matrix image of the sample through calculation. According to the invention, full-Mueller matrix information can be obtained through single scanning, and the device has the characteristics of high resolution, compact structure, good compatibility and the like, and can be used for multi-dimensional polarization microscopic analysis of samples.

The invention provides an image global modeling-oriented single-scan Mama feature extraction method and system, and the method comprises the steps: obtaining an input image, and extracting a multi-channel feature map with a channel dimension and a spatial dimension through convolution operation; state space modeling of single-time forward calculation is carried out on the multi-channel feature map so as to model the global dependency relationship between channels, and the state space modeling is achieved by carrying out matrix operation on features obtained after space dimension flattening and a channel interaction matrix built based on state space model parameters; and outputting the feature map after global dependency modeling, and applying the feature map to a downstream vision task. According to the method, redundant calculation caused by multiple times of space scanning is eliminated, the model structure is simplified, and the calculation complexity and reasoning delay are remarkably reduced while the downstream task performance such as image classification is ensured.

The invention discloses a phase-free antenna measurement method, a phase-free antenna measurement system and a storage medium. The phase-free antenna measurement method comprises the following steps: constructing a measurement system comprising an antenna to be measured, a measurement probe, a fixed auxiliary reference antenna and software defined radio; the probe is controlled to move and sample on the scanning plane, and the SDR synchronously collects receiving signals of the probe and the reference antenna; based on the frequency domain transformation result of the two paths of signals, the radiation field amplitude of each sampling point and the relative phase relative to the reference antenna are directly calculated through non-iterative operation, so that complete complex electric field distribution on the scanning plane is reconstructed; and finally, obtaining a far-field directional diagram through near-field-far-field transformation. The fixed reference antenna is introduced to serve as a phase reference, synchronous acquisition and direct calculation are achieved in combination with the SDR, the antenna radiation field can be rapidly and accurately recovered without direct phase measurement or complex iteration in the single scanning plane and single scanning process, and the method has the advantages of being simple in system, high in measurement efficiency and high in signal drift resistance.

The invention provides a water immersion type ultrasonic residual stress evaluation method and related equipment. The method comprises the following steps: controlling an ultrasonic probe to vertically enter water in a water tank; the ultrasonic probe is controlled to emit ultrasonic waves at the fixed horizontal height and conduct plane scanning, first ultrasonic echo signals of all the first scanning positions are obtained, and second ultrasonic echo signals of all the second scanning positions are obtained; calculating the sound velocity of each first scanning position based on the first ultrasonic echo signal and the second ultrasonic echo signal; drawing a specified two-dimensional image by using the sound velocity of each first scanning position; and based on the specified two-dimensional image, determining an evaluation index for representing the residual stress of the to-be-tested sample. The to-be-detected sample does not need to be taken out and scanned again, and the evaluation index can be determined only by scanning once, so that errors caused by position change of the reflecting plate are avoided, and the residual stress measurement precision and the detection efficiency are improved.

This invention discloses a method for automatically and non-destructively extracting soybean plant phenotypes, comprising: acquiring soybean plant images; inputting the soybean plant images into a pre-trained YOLOv5s-S neural network model to identify pod regions and stem regions; obtaining coordinate information of pods and stems; obtaining the number of pods based on the pod coordinate information; and using the trained U... 2 The Net neural network model performs semantic segmentation on soybean plant images to obtain pseudo-color segmentation maps. The soybean plant images are then binarized to obtain binarized images. The pseudo-color segmentation maps and binarized images are superimposed, and an A*-based path search algorithm is used to process the superimposed image to obtain plant height, number of effective branches, and branch length. This invention's method for automatically and non-destructively extracting soybean plant phenotypes can calculate the number of pods, identify all effective branches, and measure plant height and branch length in a single scan, achieving satisfactory accuracy.

The present invention discloses a method for rapid detection of marine radar targets. Radar echo data samples on a single scan line are selected from offline radar data, including radar echo samples containing targets and pure sea clutter radar echo samples without targets; characteristic parameters are selected, and the echo eigenvalue of the samples is input into an RBF neural network for training to obtain a trained RBF neural network classifier model; the echo data to be measured on a single scan line in the radar image is obtained, and the echo eigenvalue of the echo data to be measured is calculated according to the characteristic parameters to obtain an input feature matrix; the input feature matrix is input into the trained RBF neural network classifier model to obtain a decision function value y; y is compared with the classifier threshold to determine whether there is a target on the scan line: if y is greater than the threshold, there is a target; if y is less than the threshold, there is no target. The present invention can reduce the detection time and improve the target detection efficiency and target detection accuracy.

A method for determining a magnetic field azimuth angle of a CPT magnetometer by using deep learning establishes spectrum-azimuth angle nonlinear mapping by using an end-to-end training strategy, is beneficial for realizing high-precision determination of the magnetic field azimuth angle, and comprises the following steps: generating elliptical multicolor laser by using a light path system configured on the CPT magnetometer; step 2, scanning the multi-color laser, passing through a gas chamber in a magnetic field, adjusting the azimuth angle of the magnetic field, and collecting an electromagnetic induction transparent EIT spectrum data set with a label; dividing the spectral data set into single scanning EIT spectral data, and performing standardization, data length normalization and label normalization processing to form a preprocessed labeled spectral data set; training a 1D-ResNet deep learning network by using the preprocessed labeled spectral data set, and establishing a nonlinear mapping relation between an end-to-end magnetic field azimuth angle and a spectrum; and inputting a spectral signal of an unknown magnetic field azimuth angle into the trained 1D-ResNet deep learning network to realize measurement of the magnetic field azimuth angle corresponding to the spectral signal.

The utility model discloses an inclined excitation double-array probe for detecting the defect of a neutron flux tube in a nuclear power station. A first inclined excitation array and a second inclined excitation array of the inclined excitation double-array probe are inclined along the axial direction of a framework and are arranged in a relatively rotating manner; the relatively insensitive direction of one inclined excitation array is detected and complemented by the sensitive direction of the other inclined excitation array, and meanwhile, the signals of the two inclined excitation arrays can be mutually verified. Therefore, the inclined excitation double-array probe can detect defects in all directions of the nuclear power station neutron-flux tube in one-time nuclear power station neutron-flux tube scanning, has higher reliability, remarkably improves the eddy current detection process, improves the qualitative and quantitative level of abrasion of the nuclear power station neutron-flux tube, and improves the detection accuracy of the nuclear power station neutron-flux tube. The device is of great significance to maintenance of the nuclear power station neutron flux tube, some unnecessary tube cutting displacement or tube sealing and blocking can be effectively avoided, and the service life of the nuclear power station neutron flux tube is ensured.

The invention relates to a deep learning fundus blood flow imaging method based on OCT amplitude and phase information, and belongs to the field of fundus blood flow imaging. An artificial neural network is used for fusing multi-modal information from OCT, multiple labels from OCTA are used for optimizing the network, and finally high-precision reconstruction of a blood flow image is achieved. Compared with the prior art, the method has the following outstanding advantages that firstly, phase information which is not fully utilized in a traditional method is creatively integrated, and the microvessel recognition sensitivity is remarkably improved through an amplitude-phase bimodal feature collaborative learning mechanism; secondly, a blood flow texture-blood flow position double-label supervised learning strategy is creatively provided, blood vessel position labels are introduced in a function loss stage, the network is assisted to accurately position the blood flow position, the characterization capacity of the network on capillary and other small blood vessel structures is effectively enhanced, and blood flow microcirculation visualization is achieved; and thirdly, blood flow information can be reconstructed by using single OCT scanning data.

A scribing method for grain-oriented electrical steel with heat-resistant laser-scribing, comprising: outputting a pulsed laser in burst mode, and forming parallel line-shaped grooves (2) on a surface of a grain-oriented electrical steel sheet (1) by means of a single scan, the grooves (2) having a depth of 15-45 μm and a width of 5-15 μm. The method allows for narrow and deep grooves (2) to be formed on a surface of a steel sheet by means of a single scan, so as to obtain grain-oriented electrical steel having a low core loss and a high magnetic flux density, wherein the core loss P17 / 50 of the grain-oriented electrical steel is less than 0.780 W / kg, the magnetic flux density B8 of the grain-oriented electrical steel is greater than 1.920 T, and a stacking factor of the grain-oriented electrical steel is greater than or equal to 95.5%. The present invention also relates to grain-oriented electrical steel with heat-resistant laser-scribing.

The invention discloses a built-in kerf microstructure inflation actuator based on an electrostatic adsorption film and a preparation method and application of the built-in kerf microstructure inflation actuator. The method comprises the following steps: 1) taking at least two layers of thermoplastic plastic films with electrostatic self-adhesion characteristics, laminating the thermoplastic plastic films together, and enabling the adjacent layers of films to be tightly attached by utilizing electrostatic adsorption force between the films; and 2) placing the multi-layer film obtained in the step 1) on a workbench of a laser cutting machine, controlling a laser beam to perform single scanning according to a preset kirgami paper-cut two-dimensional pattern path, and regulating and controlling laser parameters to synchronously complete cutting of the multi-layer film to form a notch and hot melting welding along the edge of the cutting path to form a sealing welding seam in the single scanning process of laser, and the inflation actuator in an uninflated state is obtained. According to the manufacturing method, a cross-scale film inflation structure with an ultra-narrow edge welding seam and a complex internal paper-cut structure can be manufactured, the sensing function can be seamlessly integrated, and a flexible system with the structure, sensing and driving highly integrated is obtained.

The present invention provides a noise-suppressed, loop-reference-structure frequency-division-multiplexed optical frequency domain reflectometer, belonging to the field of optical fiber testing. The device comprises a tunable laser source module, a main interferometer test module, an auxiliary interferometer module, a signal acquisition and analysis module, and a ring cavity frequency-division-multiplexing module. The device is characterized in that the ring cavity frequency-division-multiplexing module employs a ring cavity structure. After light is input into the ring cavity, a portion of the light is directly output, while the other portion circulates in the ring cavity before being output. Multiple cycles generate reference light with different time delays, which interfere with the test light. In a single laser scan, multiple groups of beat frequency signals are collected. After frequency sweep nonlinearity correction and frequency domain conversion, signal intensity correction and segmented interception are performed to achieve frequency division multiplexing of the optical signal in a single scan. After averaging processing, the signals are integrated into a group, effectively improving the sensitivity of optical frequency domain reflectometry measurements of short-distance optical fiber devices, suppressing noise influences, and maintaining a compact structure.

The invention belongs to the technical field of medical care informatics, and particularly relates to a carotid plaque and vascularization assessment method and system based on FF and R2 * atlas, T1W-TSE and FF / R2 * atlas are generated through single MRI scanning, the vascularization and plaque components represented by PVAT can be quantitatively assessed at the same time, such as LRNC (through the FF atlas), calcified plaque (through the R2 * atlas) and IPH staging (through T1W-TSE / R2 * fusion), and the assessment accuracy is high. The defects that traditional MRI qualitative analysis cannot distinguish IPH periods are overcome; and moreover, the inherent T1 / T2 * deviation in chemical shift imaging is eliminated by the Dixon-based FF / R2 * calculation, and the quantitative analysis precision is improved.

The application discloses a confocal full Mueller matrix imaging device and method based on a fiber super surface array, and belongs to the technical field of polarized optical imaging. The device comprises a fiber array multi-polarization illumination module, a sample scanning module, a scattered light transmission module, a super surface array polarization modulation module and a polarized light intensity detection module. The polarization state of four beams of light is regulated by a fiber polarization controller, and four illumination focal spots with different polarization states are generated simultaneously on a sample plane. The sample scattered light is modulated by a polarization measurement super surface array comprising four independent super surface units, and the polarization state of each light signal is projected onto sixteen spatially separated polarized light spots. Finally, the light spot intensity information is collected by a surface array detector, and the full Mueller matrix image of the sample is reconstructed by calculation. The application realizes the acquisition of full Mueller matrix information in a single scan, has the characteristics of high resolution, compact structure and good compatibility, and can be used for multi-dimensional polarization microscopic analysis of samples.

The invention discloses an off-line navigation system for a flexible afterloading source applicator in a rectum cavity, which comprises data processing equipment and a flexible afterloading source applicator for off-line navigation in the rectum cavity, the source applicator comprises a flexible source applicator main body, a space positioning identifier and a deformation sensing module, and an axial graduated scale and a circumferential reference identifier are arranged on the surface of a flexible shell of the source applicator; and four groups of U-shaped turn-back resistance wire type strain sensors are orthogonally embedded and fixed in the inner circumferential direction of the sensor. The physiological bending and unexpected torsion distortion of the source applicator are accurately decoupled and monitored through the tension and pressure differential signal and the neutral surface resistance change, and the accurate positioning of the source applicator is realized from a physical bottom layer through the physical criterion of a 3% steady-state early warning threshold. Patients only need to be subjected to single-time CT scanning filing during first treatment, and accurate registration can be achieved by means of internal and external feature cross validation of physical dimensions in subsequent treatment. Therefore, the waiting time of single treatment is greatly shortened, accumulated radiation toxic and side effects of patients are remarkably reduced, and the operation load of large-scale image equipment in hospitals is greatly released.

The present invention relates to a diaphragm direct welding device and method for a moving coil planar combined earphone. The device includes key components such as a solder application mechanism, an image positioning mechanism, a laser source and a galvanometer mechanism, a spraying mechanism, a displacement mechanism, and a controller. During the welding process, the device accurately identifies the position of the metal ring through the image positioning mechanism, and uses the laser source and the galvanometer mechanism to simultaneously perform laser welding of the welding holes on the metal ring and laser cutting of the diaphragm substrate outside the metal ring in a single scan, so that the size of the cut metal ring is equal to the size of the diaphragm substrate, avoiding the complex steps and errors of separately positioning the diaphragm in the prior art. The high-precision processing ability of the device ensures the accuracy and consistency of diaphragm production, improving production efficiency and product quality.

The invention relates to a magnetic resonance imaging method and device. The method comprises the following steps: performing magnetic resonance scanning on a target object according to a preset sampling track to obtain multi-phase original scanning data of the target object; the original scanning data of different periods comprises scanning data of different slice layers of the target object; determining a coil sensitivity graph according to the original scanning data of each phase, and reconstructing the original scanning data of each phase according to the coil sensitivity graph to obtain a multi-phase scanning image of the target object; and performing magnetic resonance imaging based on the multi-phase scanning image. According to the method, the static high-definition imaging requirement and the dynamic high-definition imaging requirement can be met at the same time through one scanning process, and the multi-phase scanning image obtained through reconstruction can be suitable for various different imaging modes, so that magnetic resonance images in different imaging modes are obtained; the magnetic resonance imaging efficiency can be improved, and the magnetic resonance imaging effect can also be improved.

A computer-implemented system, method, and medium of automated milling machine calibration includes receiving a 3D virtual calibration design comprising one or more designed indented regions and a designed curved region; milling the 3D virtual calibration design into a physical block to provide a 3D physical milled calibration block; receiving a 3D virtual calibration scan block of the 3D physical milled calibration block; and determining one or more calibration parameters from the 3D virtual calibration scan block.

This invention discloses a method and terminal for studying the characteristics of low-voltage indicators. The method receives indicators related to low voltage to be analyzed; searches a dataset to find all items containing the indicators, forming an itemset; determines the indicator data corresponding to each indicator in the itemset; and splits the indicator data corresponding to each indicator in the itemset so that the ranges of any two indicator data corresponding to each indicator do not overlap, forming a split itemset; and uses an improved Apriori algorithm to determine indicators strongly correlated with low voltage based on the split itemset. In the improved Apriori algorithm, all candidate itemsets are first determined based on the split itemset, and then support is calculated for all candidate itemsets in a single scan of the split itemset. The accuracy and efficiency of low-voltage indicator correlation analysis are ensured through data splitting and a reduction in the number of adaptive scans.

The invention discloses a honeycomb core component processing surface shape precision measurement method, which comprises the following steps: integrating a line laser sensor and a numerical control machine tool, calibrating a sensor installation inclination angle, scanning and measuring a honeycomb core processing surface, and splicing measurement data of single scanning into whole surface morphology data of a honeycomb core. Honeycomb grid topological structure identification is carried out on a top view of the honeycomb core surface morphology data, morphology data of each honeycomb edge are segmented, noise data such as burrs and abnormal points contained in the morphology data are removed, surface shape data of each honeycomb edge are extracted, surface shape data of the whole honeycomb core are spliced according to original positions of the surface shape data, registration with a theoretical mathematical model is carried out, and the surface shape data of the honeycomb core are obtained. And calculating the error of the measured surface shape of the honeycomb core relative to the theoretical mathematical model. According to the method, the problem of difficulty in surface shape measurement and data processing of the honeycomb core with the discontinuous thin-wall structure is effectively solved, and the measurement requirement of the surface shape precision of the actually-processed honeycomb core can be met.

The invention discloses a wafer ultrasonic cleaning method, a cleaning device and an automatic system, and relates to the technical field of semiconductor manufacturing, and the method comprises the following steps: 1, generating a medium-temperature liquid water environment of vertical laminar flow in a cleaning fluid flow channel; 2, liquid water is scanned through laser to form a three-dimensional cavitation area, and cavitation bubble flow is generated; 3, dynamically adjusting a laser energy density distribution curve, and controlling the size and density of cavitation bubbles; 4, customizing a bubble collapse energy curve based on the cleaning stage, and removing pollutants with different particle sizes in stages; and 5, discharging pollutants through laminar overflow. The cleaning device is used for implementing the method, and the automatic system comprises the cleaning device. Ideal thermodynamic conditions are created for the cavitation effect through the medium-temperature laminar flow environment; a multi-scale mixed bubble group is generated in single scanning through laser cavitation dynamic regulation and control, so that macroscopic stripping of large bubbles and microcosmic removal of small bubbles are efficiently coordinated; and a pollutant re-adsorption path is blocked through directional pollution discharge of overflow.

The present invention provides a method and system for panoramic oral imaging, comprising the following steps: inputting a dental arch curve type of a patient to be examined; determining a motion trajectory and speed based on the dental arch curve type; acquiring oral projection data of the patient to be examined based on the motion trajectory and speed; constructing an arch surface based on the dental arch curve type, wherein sampling points are provided on the dental arch surface; determining the projection position of each sampling point based on the motion trajectory; and constructing a panoramic image of the dental arch surface based on the oral projection data and the projection position of each sampling point. The present invention can obtain a multi-layer panoramic oral image using oral projection data collected in a single scan, wherein the multi-layer panoramic oral image is composed of dental arch surfaces at different positions, thereby effectively reducing overlap of soft tissue and bone tissue in the multi-layer panoramic oral image.

The invention discloses a method for eliminating residual stress laser of an optical device, which belongs to the technical field of optical manufacturing and comprises the following steps of: acquiring a residual stress distribution cloud picture in the optical device manufactured by a die forming or grinding method by utilizing finite element analysis software; finite element analysis software is used for simulating the path heating residual stress removal effect of continuous laser on the optical device, and proper laser treatment process parameters are determined according to different stress areas; carrying out low-power laser heating treatment on the low-residual-stress area and adopting an out-of-focus processing strategy, and carrying out low-power laser treatment multiple scanning treatment or high-power laser single scanning treatment on the high-residual-stress area and adopting an out-of-focus processing strategy; by adopting the laser elimination method for the residual stress of the optical device, the uniformity of the optical performance of the processed optical device can be ensured while the internal residual stress of the precise optical device is accurately eliminated, and the optical performance is improved.

The invention relates to the technical field of air cylinder maintenance, in particular to an aluminum thin-wall air cylinder barrel maintenance method which comprises the steps that a cylinder barrel is fixed, and a damaged area on the inner wall of the cylinder barrel is cleaned; the damaged area of the cylinder barrel is polished; multiple rounds of flame scanning are conducted on the grinding area, and the single-time scanning time is decreased progressively along with increase of the scanning frequency; cleaning and drying the heating area; the damaged area is coated with a filling agent and cured; and after first-time curing, grinding is carried out through raw abrasive paper till the piston is not blocked in push-pull, after second-time curing, grinding is carried out through fine abrasive paper till the piston is flush with an undamaged area, and after third-time curing, grinding is carried out through water wet polishing abrasive paper till the set roughness range is achieved. The limitation that the thin-wall cylinder barrel cannot be repaired after being damaged and deformed due to the thin cylinder wall is broken through, the maintenance working efficiency can be effectively improved, the maintenance time is shortened, and the maintenance cost is saved.

The application discloses a gas magnetic resonance method for rapid measurement of lung gas exchange function, and utilizes a SA-CSIR pulse sequence to collect hyperpolarized 129 Xe magnetic resonance spectrum data; when hyperpolarized 129 Xe signals exist in three magnetic resonance signals in the lung of a subject, a relationship between signal strength of a plasma signal and exchange time t and a relationship between signal strength of a red blood cell signal and exchange time t are constructed based on a gas-blood exchange model proposed in the application, and finally, gas exchange function parameters of the lung of the subject are extracted through fitting; the application can acquire data of multiple exchange time points in a single scan, significantly shortens data acquisition time, improves sampling speed, and realizes rapid evaluation of lung gas exchange function; compared with a traditional CSSR technology, the application method can obtain a higher signal-to-noise ratio at a small exchange time, thereby improving evaluation accuracy.

The invention relates to the technical field of underwater acoustic detection, in particular to a high-precision seabed in-situ test method and system based on acoustic assistance, and the method comprises the steps: obtaining echo signals in all directions when a multi-beam depth finder scans the seabed in real time, and obtaining the time difference between the signal emission in all directions and the echo signal receiving in all directions; in a single scanning process, obtaining corrected sound velocities and sound velocity frequency offset values in all directions; acquiring goodness of fit for sine fitting of the echo signals in each direction, acquiring sound velocity correction coefficients in each direction through the goodness of fit in each direction and the deviation value of the goodness of fit in the symmetrical direction in combination with the sound velocity frequency offset value, and comparing the time difference between each direction and the adjacent direction to obtain a sound velocity correction coefficient in each direction. Correcting the time difference of each direction by combining the included angle between each direction and the vertical direction; and obtaining a seabed depth value of the scanning point in each direction, and constructing a seabed topographic map. The invention aims to improve the precision of seabed depth measurement.

The present invention belongs to the field of magnetic particle imaging, and particularly relates to a multi-resolution magnetic particle imaging method and system based on parallel excitation of magnetic field free lines, aiming to solve the problem that high-resolution and high-sensitivity image reconstruction cannot be achieved simultaneously. The present invention includes: generating magnetic field free lines; moving the magnetic field free lines to the target position; turning on the alternating current of the excitation coil to generate an excitation field with a single frequency, and collecting the voltage signals induced by the receiving coil; extracting the amplitudes of different order harmonics as single pixel values; mapping the single pixel values corresponding to different order harmonics to the spatial positions of the magnetic field free lines until all spatial positions are scanned to obtain a multi-resolution image. The present invention can obtain multi-resolution images simultaneously through a single scan, without the need for repeated scans of multiple parameters and additional registration and fusion, greatly improving the measurement efficiency. At the same time, the multi-resolution images can provide complementary information on structural localization and concentration quantification, which helps to guide clinical diagnosis.

This invention discloses a method for detecting internal defects in concrete based on array ultrasonic imaging, belonging to the field of concrete internal defect detection technology. The method includes the following steps: S1, arranging two or more ultrasonic phased array probes on the surface of the concrete structure to be inspected. Each ultrasonic phased array probe contains multiple independently controllable piezoelectric crystal units for omnidirectional measurement of the concrete structure. This method for detecting internal defects in concrete based on array ultrasonic imaging, by employing ultrasonic phased array technology, achieves electronic deflection and focusing of the sound beam without mechanically moving the probe. Combined with full-matrix capture and synthetic aperture focusing algorithms, it can quickly acquire high signal-to-noise ratio, high-resolution two-dimensional / three-dimensional images in a single scan. This not only increases the detection speed by 3-5 times but also effectively overcomes the "forest-like echo" interference caused by aggregate scattering in traditional single-channel ultrasound, significantly improving the detection rate and positioning accuracy of minute defects (such as fine cracks and local segregation).