64 results about "Linear Scan" patented technology

The invention relates to a multi-contrast magnetic resonance image super-resolution reconstruction method and system. The method comprises the following steps: collecting an image data set, preprocessing the image data set, and dividing the image data set into a training set and a test data set; combining a Hilbert curve, a state space model and a frequency domain enhancement mechanism to construct a multi-contrast magnetic resonance super-resolution reconstruction model based on Hilbert double-domain fusion Mamba; and training a multi-contrast magnetic resonance super-resolution reconstruction model based on Hilbert double-domain fusion Mamba by using the training data set, and then completing the test of the test data set to obtain a super-resolution reconstruction image of the target contrast magnetic resonance image. Frequency domain features are scanned through a Hilbert curve, a cross-modal global frequency dependency relationship is captured, and high-frequency texture details are effectively recovered. And multi-modal local texture information is dynamically fused through a channel attention mechanism, so that neglect of local details by linear scanning is avoided, and the texture reconstruction precision is improved.

The invention discloses an ultrasonic orthogonal scanning measurement method for mechanical properties of a fiber reinforced composite material. The method comprises the following steps: aiming at a composite material unidirectional plate to be detected, fixing receiving (transmitting) points on the surface of one side of a material, positioning the transmitting (receiving) points on the surface of the other side of the material, performing linear scanning along any two orthogonal directions, and recording transmission quasi longitudinal wave and quasi transverse wave time domain waveform signals which are acquired by combining each pair of transmitting and receiving points and are propagated along different paths; establishing an acoustic model for quantitatively describing the quantitative relationship between the ultrasonic trend and the independent elastic constant, thickness and fiber direction angle of the to-be-tested fiber reinforced resin matrix composite so as to simulate an ultrasonic data acquisition experiment and generate a corresponding simulated ultrasonic data set; and updating the independent elastic constant, the thickness and the fiber direction angle value of the composite material by taking the similarity degree between ultrasonic data sets obtained by experiments and simulation as a target function. According to the invention, multi-parameter high-precision in-situ nondestructive measurement of mechanical properties, thickness and fiber orientation of materials can be synchronously realized.

The invention discloses a method for measuring the thickness of a thin film through an atomic force microscope assisted by a low-power optical microscope, which comprises the following steps of: pre-aligning the tip of a probe of the atomic force microscope with a step of a sample to be measured by virtue of the low-power optical microscope, and then controlling the tip to descend to a first height of the surface of the step; the needle tip is lifted under real-time monitoring, the needle tip and the surface of the sample are located in the focal plane range of the low-power optical microscope, the position of the probe is adjusted, and the projection of the needle tip is located over the step to complete accurate positioning. Starting a linear scanning mode, carrying out single-line scanning in a direction perpendicular to the step extension direction, dynamically adjusting scanning range parameters until a scanning curve presents a step-shaped characteristic, adjusting the scanning curve to a view center, switching a line-by-line scanning mode to obtain three-dimensional shape data, and obtaining the film thickness of the to-be-detected sample based on the three-dimensional shape data. According to the method, the probe and sample positioning process is optimized, scanning parameters and a data processing method are reasonably set, and the problems of long time consumption and low precision of measuring the film thickness by the atomic force microscope under the assistance of the low-power light microscope are effectively solved.

The utility model discloses a portable inorganic arsenic detection kit which comprises a kit body, a kit cover, a first accommodating part, a second accommodating part, a reagent bottle and an electrolytic tank, an electrolytic tank is arranged in the middle of the box body; the first accommodating part is arranged on the left side of the electrolytic tank; the second containing part is arranged on the right side of the electrolytic tank, the first containing part and the second containing part are used for containing the reagent bottles, and the reagent bottles are used for containing test solutions. The portable inorganic arsenic detection kit is simple in structure, complete in equipment and convenient to take and use, a to-be-detected sample is detected by using linear scanning anodic stripping voltammetry by combining with an electrochemical method, and inorganic arsenic can be detected more quickly and efficiently.

This application discloses a laser marking method, equipment, and storage medium for cylindrical workpieces, belonging to the field of laser marking technology. The method includes: acquiring the pattern to be marked and the radius parameters of the cylindrical workpiece; based on the radius parameters, equating the angular displacement of the rotation axis to a virtual linear motion axis; constructing a virtual planar coordinate system based on the virtual linear motion axis and the scanning axis of the galvanometer; mapping the pattern to be marked onto the virtual planar coordinate system; generating marking path instructions for controlling the galvanometer and rotation axis; and driving the galvanometer to perform linear scanning and the rotation axis to rotate according to the marking path instructions, so that the laser beam etches the pattern to be marked on the surface of the cylindrical workpiece. This application, through an algorithmic compensation mechanism for constructing the virtual planar coordinate system, ensures the integrity and positional accuracy of the marked pattern, thereby achieving a marking effect that meets the needs of batch processing on a low-cost hardware platform.

This invention relates to the field of battery technology and discloses a method for forming an SEI film in a battery, comprising the following steps: Step 1, surface pretreatment; Step 2, initial linear scanning; Step 3, SEI film reforming; Step 4, final linear scanning; Step 5, real-time monitoring; and Step 6, real-time adjustment. This invention ensures uniform SEI film formation on the electrode surface through a series of precise steps and technical measures during the SEI film formation process in the battery. A multi-segment scanning strategy is employed for the initial linear scanning, gradually increasing the voltage and performing multiple scans to effectively control the initial formation and uniformity of the SEI film. Quality inspection is performed using a scanning electron microscope (SEM), and feedback adjustments are made based on the inspection results to further ensure uniform SEI film formation and high performance. This achieves the beneficial effect of improving SEI film uniformity and ensuring uniform formation of the SEI film in different regions.

This invention proposes a complex optical system based on deep feature decoupling and an autonomous alignment and diagnostic method. The system includes a resonant cavity support system, a spot data acquisition system, and a preprocessing system. The method includes acquiring transmitted and reflected spot data from an F-P resonant cavity to construct a training dataset; preprocessing the training dataset to generate an average intensity projection feature map; inputting the average intensity projection feature map into a neural network feature decoupling and inference model to derive multi-degree-of-freedom adjustment parameters, achieving a fundamental mode purity of a first preset threshold; switching to an orthogonal serialized one-dimensional linear scanning fine-tuning mode, optimizing and locking extreme points dimension by dimension, achieving a fundamental mode purity of a second preset threshold, and completing closed-loop alignment; based on the adjustment data and principal component analysis, decoupling the system's sensitive dimensions, and outputting the optical system's sensitivity diagnostic results. This invention can diagnose the most sensitive and easily imbalanced key parts of the system, providing theoretical guidance for subsequent system maintenance and adjustment.

The utility model belongs to the technical field of floor tile detection, and particularly relates to a quality detection mechanism for ceramic floor tile production, which comprises a worktable, a lower guide rail mounted on the worktable, a moving table mounted on the lower guide rail in a sliding manner, a floor tile toggle clamp and a support frame mounted on the moving table, an upper guide rail mounted on the support frame, and a sliding component mounted on the upper guide rail in a sliding manner. A plurality of hardness detection assemblies with different hardness are installed on the sliding assembly and arranged between the two upper sliding seats at intervals. The structure that the guide rail is matched with the sliding base is adopted, linear scanning can be conducted on the surface of the floor tile, meanwhile, multiple hardness detection assemblies are used for multi-point measurement, and the detection efficiency and accuracy are greatly improved; in addition, the contact pressure between the Mohs hardness pen and the surface of the floor tile is adjusted through the spring, and the consistency and stability of detection are ensured.

The invention relates to an array type methane detection method and device based on TDLAS, and belongs to the technical field of laser methane detection. The method comprises the following steps: adopting a plurality of lasers, and screening the lasers; arranging the screened lasers on a substrate to form a laser array, and sealing the laser array; sequentially driving each laser light source, and for each laser, carrying out linear scanning in a process of increasing a light-emitting initial threshold current to a full-scale current to obtain laser array absorption spectral line data; and carrying out harmonic demodulation on the light intensity data corresponding to each laser light source, and taking the data corresponding to the laser light source with the maximum absorption degree as the current detection data. The problem that a single laser needs temperature control to keep methane absorption peaks within a scanning range is solved, a plurality of light sources are adopted to form a light source array, the overall light emitting wavelength range within the working temperature is increased, heating and refrigerating devices are omitted, and power consumption is reduced.

The invention discloses a scanning type hyperspectral imaging device and method based on a linear gradient filter. The device sequentially comprises an imaging objective lens, a gradient filter assembly, a telecentric imaging lens group and a camera along the incident direction of a light path, during working, the one-dimensional linear displacement table drives the gradient filter assembly to perform linear scanning motion in the direction perpendicular to the optical axis, so that light in an imaging view field penetrates through band-pass filtering areas with different central wavelengths on the gradient filter in a time-sharing manner. The filtered monochromatic or narrow-band light is projected to a photosensitive target surface of the camera through the telecentric imaging lens group, and multiple frames of spectral images with different wavebands are continuously acquired. Collected sequence images are processed and reconstructed to form a hyperspectral three-dimensional data cube containing spatial information and spectral information. The system has the advantages of high imaging speed, high luminous flux, compact system structure, low cost and the like, and is suitable for hyperspectral data acquisition scenes with higher real-time requirements.

This invention relates to the field of image processing technology, and provides a method for determining image stitching coefficients and an image stitching method based on a line scan camera. The method for determining image stitching coefficients includes: determining a base channel for image stitching from multiple single channels pre-acquired from a line scan camera; using the stitching coefficient of the single channel adjacent to the base channel as the unit stitching coefficient, stitching all other single channels onto the base channel to obtain a corresponding stitched image; calculating the correlation coefficient between the base channel and at least one other single channel in the stitched image; obtaining multiple sets of unit stitching coefficients and multiple sets of correlation coefficients corresponding to the multiple sets of unit stitching coefficients; performing polynomial fitting based on the multiple sets of unit stitching coefficients and the multiple sets of correlation coefficients corresponding to the multiple sets of unit stitching coefficients; and determining the optimal unit stitching coefficient based on the polynomial fitting result.

The utility model discloses a control circuit, a control system and a detection system of a line scanning camera, which are used for solving the problem of low line scanning efficiency when a fixed frame mode is used for linearly scanning a wafer. The control circuit comprises a position encoder and an image acquisition card; one end of the position encoder is connected with the image acquisition card; the other end of the image acquisition card is connected with the industrial computer.

This invention discloses an intelligent pavement distress detection method and system based on instance segmentation. It utilizes a linear scan camera to acquire image data containing pavement distress, and preprocesses the acquired image data using adaptive histogram equalization. A multi-level feature extraction network is established to extract global features from the image data, outputting multi-scale feature maps. A spatial-channel attention mechanism is used to process the multi-scale feature maps, enhancing their feature information and fully activating the target region. A path aggregation pyramid network with transposed convolutional upsampling is used to fuse the features of the multi-scale feature maps, and the output features of the pyramid network are further enhanced through an adaptive enhancement mechanism. The enhanced multi-scale feature maps are then used for model training. The optimized instance segmentation model is used to predict the pavement distress from multiple acquired images. This invention overcomes the limitations of existing pavement distress detection methods, improves the accuracy of pavement distress detection, and solves difficulties such as cross-image distress identification.

The invention discloses a damage detection device for new material film processing, and relates to the technical field of new material film processing, the damage detection device comprises a bottom plate and a moving assembly, a support is fixed in the middle of the top surface of the bottom plate, one side of the support is connected with a detection assembly, the moving assembly is arranged on one side of the detection assembly, and the moving assembly comprises a motor; a motor is arranged at one end of the support, the output end of the motor is connected with a synchronizing shaft, guide wheels are fixed to the outer sides of the two ends of the synchronizing shaft, and guide grooves are formed in the outer sides of the guide wheels. The light source enables the transmitting end to emit light through the transmitting optical fiber, the receiving end receives reflected light on the surface of the thin film and transmits the reflected light to the CCD camera through the receiving optical fiber, surface damage is accurately detected by recognizing brightness changes, meanwhile, the motor drives the movable plate to drive the transmitting and receiving end to reciprocate, single-point static detection is expanded into linear scanning, and the detection precision is improved. The coverage area of single detection is obviously increased, the detection blind area under the traditional fixed spacing is eliminated, and the full-range coverage detection is realized.

A system including at least one linear scanner. The system utilizes multiple modes to synchronize image acquisition of the at least one linear scanner. A first mode directly triggers image acquisition by the at least one linear scanner based on a distance a conveyor of the object carrying a machine-readable symbol has advanced. A second mode includes sending a speed value for the conveyor. The system transitions between the first mode and the second mode based on an operating parameter of the system to optimize performance of the system. The first mode is more accurate at slower conveyor speeds, for example during stop and go events, and the second mode uses less bandwidth at higher speeds, for example during steady-state operation.

This invention discloses a method and apparatus for measuring the opening and closing speed of a circuit breaker based on a linear array camera. The method includes: acquiring multiple frames of images of a target moving with the circuit breaker during opening and closing using a linear array camera; for each frame of the target image, applying an image processing method based on edge detection to obtain the target's motion distance for each frame, and obtaining a curve showing the relationship between the target's motion distance and time; and calculating the circuit breaker's opening and closing speed characteristics based on the curve showing the relationship between the target's motion distance and time. This invention achieves indirect measurement of the circuit breaker's opening and closing speed, requires fewer pixels in the captured images, thus improving image processing efficiency; increases the number of one-dimensional pixels, thus improving measurement accuracy; and requires only a target on the rotating shaft, eliminating the need to change sensors for different objects, and is less affected by the environment in which the equipment is located, thus meeting the requirements for online measurement.

The application discloses a gear repairing method and device, a terminal equipment and a computer readable storage medium, and belongs to the technical field of gear repairing. The gear repairing method comprises the following steps: linear scanning of a target tooth surface of a to-be-scanned gear along a first scanning path parallel to the dedendum line of the target tooth surface, so as to obtain first scanning data; involute scanning of the target tooth surface along a second scanning path parallel to the involute of the target tooth surface in a direction tangent to the involute base circle of the to-be-scanned gear, so as to obtain second scanning data; roughness diagnosis of the target tooth surface based on the actual profile information of the target tooth surface obtained through scanning and the theoretical profile information corresponding to the target tooth surface, so as to determine a repairing mode of the target tooth surface according to the result of the roughness diagnosis; and repairing processing of the target tooth surface according to the repairing mode. The application provides a gear repairing strategy, so as to improve the precision of gear repairing.

The invention discloses a high-activity super-hydrophilic aerophobic electrode used in a low-pressure environment as well as a preparation method and application thereof, and relates to the field of electrocatalysis. The preparation method comprises the following steps: cleaning and drying nickel fibrofelt, assembling a three-electrode system, and performing linear scanning, cleaning and drying by adopting cyclic voltammetry to obtain a precursor; a femtosecond laser processing device is adopted for scanning and etching, the scanning interval is 25-300 microns, a periodic nanoscale and / or micron-sized structure is formed, and the electrode is prepared. According to the method, a hydrophilic micro-nano physical structure is induced through femtosecond laser, surface reconstruction is carried out, the balance of efficient mass transfer and high-activity sites is sought by optimizing the scanning interval, and the OER reaction catalytic activity and the stability under the high current density are improved. The material has the remarkable advantages of simple and convenient preparation process, high mechanical strength, excellent mass transfer efficiency and the like, and is beneficial to stable operation of water electrolysis hydrogen production equipment in a high-altitude and low-pressure extreme environment.

The invention discloses a hybrid resonant frequency searching method and system of a Coriolis flowmeter, and belongs to the technical field of flow measurement. The method comprises the following steps: firstly, performing global rough search in a wide frequency range through a particle swarm optimization (PSO) algorithm, and quickly converging to be near a resonance peak value to obtain a rough resonance frequency; and then, taking the rough frequency as the center, performing local precise search in a narrow-band window by adopting linear scanning, and determining the final precise resonant frequency through fine stepping. After the frequency is locked, the system applies a window function to two paths of sensor signals and carries out FFT (Fast Fourier Transform) analysis, and then corrects a main frequency peak value through an interpolation algorithm, so that the phase difference is extracted with high precision, and finally the mass flow is calculated. Intelligent global search and local accurate scanning are combined, the contradiction between speed and precision in frequency search is solved, and the starting speed, the measurement precision and the overall performance of the Coriolis flowmeter are jointly improved by combining the advanced signal processing technology.

This invention belongs to the field of environmental noise seismic exploration, specifically relating to an automatic selection method for virtual source records suitable for environmental noise seismic exploration. The method includes: Step 1, preprocessing the original environmental noise seismic data to obtain preprocessed environmental noise seismic data; Step 2, reconstructing virtual source seismic records for different time periods at each receiving point using the preprocessed environmental noise seismic data; Step 3, performing linear scan stacking calculations on the positive and negative time semi-axis of each virtual source seismic record to obtain scan stacking amplitude curves based on different linear velocities; comparing and analyzing the maximum amplitude values ​​of the scan stacking amplitude curves of the virtual source seismic records based on the positive and negative time semi-axis to automatically select virtual source seismic records; Step 4, repeating Step 3 to achieve automatic selection of virtual source seismic records for different time periods at each receiving point. This invention can achieve automatic screening of high-quality virtual source seismic records rich in surface wave information.

The invention relates to an acoustic metasurface designing and processing method, a needle-shaped focusing acoustic beam imaging probe, a method and a system, and belongs to the field of ultrasonic medical treatment. Plane ultrasonic waves are focused into needle-shaped focusing sound beams through the metasurface, imaging is carried out in a linear scanning mode, rapid ultrasonic imaging can be achieved while the imaging precision is guaranteed, and therefore the problem that in the prior art, the imaging quality and the imaging speed cannot be considered at the same time in the ultrasonic imaging technology is solved. According to the needle-shaped focusing acoustic beam imaging system of the acoustic metasurface, through real-time data interaction among the mechanical scanning system, the transmitting circuit and the beam forming system, low-cost rapid ultrasonic imaging can be achieved, and the imaging quality is higher.

The application discloses a kind of lithium niobate microcavity modulator electro-optic tuning efficiency calibration method and system, to solve the problem of serious direct current drift interference, poor reliability of measurement results, low repeatability in prior art.It includes:1) scanning the wavelength of the microcavity to be measured, collecting static transmission spectrum and fitting, extracting resonance wavelength, optical full width at half maximum and quality factor;2) adjust the narrow linewidth laser to the resonance wavelength, build the optical power feedback closed loop, suppress the resonance point drift caused by environmental disturbance;3) generate high-frequency periodic linear scan voltage and load to the modulation electrode, make the transmission power change periodically with the transmission peak of tuning;4) collect time-domain transmission voltage signal and store synchronously with scan voltage signal;5) combine transmission voltage waveform, optical full width at half maximum and scan voltage electrical characteristics, obtain electro-optic tuning efficiency.The application can effectively suppress interference, improve calibration accuracy and repeatability, suitable for lithium niobate microcavity modulator performance test.

The invention provides an echo signal acquisition method and system based on sliding bunching FMCW-SAL, a storage medium and electronic equipment, and relates to the field of radar signal acquisition. According to the method, the influence of single yawing or pitching scanning and two-dimensional combined scanning on the sliding bunching SAL in a ground coverage area and the influence on an imaging result are creatively analyzed, and the conclusion that single-dimensional scanning cannot meet the requirement of a linear track of a sliding bunching beam footprint center is obtained, so that only two-dimensional combined scanning can be carried out. According to the method, an instantaneous track of a beam footprint center under the condition of two-dimensional combined scanning is deduced, yaw and pitch angles required by two-dimensional scanning are calculated according to a linear track of a sliding bunching and the requirement of constant-speed movement of a footprint, and due to the fact that the solved instantaneous yaw and pitch angles are relatively complex, the method has the advantages of being convenient for implementation of scanning in an actual system, and having a good application prospect. The scanning angle is subjected to approximate analysis, and a linear scanning scheme is given. The effectiveness of the analysis and scanning scheme is verified through simulation.

The invention discloses an intelligent IV testing and grading system and method for a perovskite solar cell, and belongs to the field of cell testing, and the system comprises a simulation illumination module, an IV testing module, a visual recognition module, an AI analysis module and a grading execution module. The method mainly comprises the steps that millisecond-level pulsed light is emitted through the simulation illumination module, and the IV test module synchronously scans and collects IV data; the AI analysis module analyzes data in real time based on a mixed model of LSTM and XGBoost, automatically judges test convergence according to a peak power change rate, and adaptively selects a stepped or linear scanning mode; after the test is completed, the IV test module is controlled to excite the assembly to generate electroluminescence, the visual identification module collects EL images, and defects are identified by an image model based on YOLOv8; and finally, performing intelligent grading by integrating the electrical performance and the defect result. According to the invention, nondestructive, rapid and adaptive perovskite cell testing and grading are realized, and the problems of thermal damage, ferroelectric hysteresis effect interference, low testing efficiency and the like are effectively solved.

This invention relates to the field of slide rail defect detection technology, and discloses an online detection method and system for slide rail surface defects based on machine vision. First, grayscale images of the slide rail surface are acquired using a linear scan camera. A priori model of normal surface texture is established based on the grayscale images. Then, priori parameters are extracted from the normal surface texture priori model. Based on the priori parameter library, core operator parameters are automatically initialized. Normal texture images and defect images are separated, and weak defects on the images are enhanced. Depth feature maps are extracted using an encoder, and defect classification feature vectors are calculated. Defects are detected based on the defect feature vectors. An incremental training set is constructed based on the defect detection results, and the training parameters are fine-tuned online. The final online detection model is output, and images are input online according to the model, and the recognition results are output. This invention achieves full-surface, high-speed, high-precision, and traceable online quality inspection of slide rails, solving the problems of low efficiency, poor consistency, and high false negative rate in manual inspection.

Static non-uniformity effects in a coherent biresonant scanning projector are mitigated through correction factors for pulse events during one frame time. According to an analytical approach, a set of input parameters such as scan angle, micro-electromechanical system (MEMS) obliquity, ridge spacing, etc. are used to optimize color-wise luminance uniformity. According to an optimization approach, pulse correction factors are determined using a custom-defined cost function that attempts to optimize for both luminance and color uniformity.

The invention relates to the technical field of automatic detection, in particular to a perovskite solar cell surface defect automatic detection and repair system and method. The backlight source is arranged on the base to provide transmission illumination, the linear array camera module is driven by the guide rail scanning mechanism to perform linear scanning, and the transmission illumination panoramic image of the surface of the battery is obtained; then, the pinhole position is positioned through an identification module, area data are obtained, and then the depth of the pinhole is accurately measured through a white light interference thickness gauge; and finally, according to the obtained three-dimensional data, the use amount of a solution needing to be repaired is calculated, an injection pump is driven by an execution mechanism to conduct quantitative liquid injection, and meanwhile, a laser annealing head is matched for conducting synchronous annealing treatment on an injection area. Precise positioning of a pinhole is realized through transmission illumination, defect depth information is obtained by adopting a white light interference principle, and quantitative repair is performed based on three-dimensional data, so that the repair process is controllable, measurable and repeatable, and the yield of batteries is effectively improved.

The invention relates to the technical field of industrial detection, and discloses an auxiliary device for boiler pipeline wall thickness detection, which comprises a table board, a moving assembly, a boiler pipeline supporting assembly and a concave cantilever type scanning frame with a correlation laser scanning probe. The core of the system is that a linear scanning speed real-time regulation and control system is integrated, and the system comprehensively analyzes multi-dimensional parameters such as background light noise, pipeline surface state, environment vibration, pipeline temperature, wall thickness change rate and ovality in real time through an optical environment evaluation module, a surface anomaly evaluation module, an adaptation evaluation module and a geometric stability evaluation module. And the axial moving speed of the scanning frame is dynamically adjusted accordingly. According to the invention, automatic, full-coverage and high-precision detection of the wall thickness of the boiler pipeline in a complex industrial environment is realized, and the detection efficiency and the measurement precision are intelligently balanced.

The application discloses a line scanning laser radar target position confirmation method and belongs to the technical field of laser radar positioning, and comprises the following steps: S1, constructing an integrated optical parametric oscillator, an entangled photon source device, a dispersion compensator, a quantum convolutional neural network and a quantum reinforcement learning environment; S2, dynamically adjusting a multimode compressed state light field; S3, shaping a time-frequency entangled photon pair into a linear light spot, linearly scanning after dynamically adjusting a linear scanning speed, and receiving echo photons after offsetting the non-local dispersion in return transmission; S4, constructing a quantum-enhanced digital elevation model; S5, extracting a rock quantum feature vector; S6, generating an optimal charging target position; the multimode compressed state light field and the linear scanning speed of the quantum laser radar can be dynamically adjusted according to the condition of the rock surface to be blasted, fine geological structures can be accurately identified under the condition of a complex rock surface, the problem of deviation of the confirmed charging target position is avoided, and the accuracy of the charging target position confirmation is improved.