112 results about "Full field" patented technology

The invention provides a crack identification method and system based on multi-modal data fusion, electronic equipment and a storage medium, and the method comprises the steps: firstly obtaining multi-modal data of a to-be-detected structure surface, specifically including an image sequence obtained by an acquisition module, full-field stress time sequence data and preset key part discrete point stress time sequence data; performing time synchronization calibration on the multi-modal data, mapping a stress field corresponding to full-field stress time sequence data to a pixel coordinate system of an image sequence through camera calibration parameters, and associating discrete point stress time sequence data to the pixel coordinate system to form a comprehensive data set of unified space coordinates; and finally, inputting the comprehensive data set into a trained multi-modal crack recognition model, and performing model recognition to obtain crack parameters and stress analysis results, thereby realizing crack recognition driven by multi-modal data fusion. Multi-modal data collaborative input overcomes the problems of misinformation, missing report and information loss of a single data source, and improves the accuracy and reliability of crack recognition.

The invention relates to an intelligent temperature control rock heat-water-force-sound-light multi-field coupling disturbance shearing device and a use method of the intelligent temperature control rock heat-water-force-sound-light multi-field coupling disturbance shearing device. A disturbance shearing mechanism composed of a trapezoid pressing rod, a constant damper and a spring is additionally arranged on the driving side of the lower shearing box. When the tangential loading shaft is propelled at a constant speed, the mechanism can convert stable linear displacement into disturbance shear load of periodic loading and unloading, so that engineering power disturbance is simulated. According to the device and the method, periodic shear disturbance is synchronously applied to a rock sample in a high-temperature seepage environment, mechanical response, seepage characteristic change, internal micro-fracture and surface full-field deformation of the rock sample are comprehensively observed, and an advanced test means is provided for researching a catastrophe mechanism of a deep rock mass under the action of multi-field coupling and dynamic disturbance.

The invention relates to the technical field of optical three-dimensional measurement and metering, and discloses a single-camera three-dimensional coordinate measurement method and system based on full-field distance measurement, and the method comprises the following steps: S1, building a calibration field containing a control point, shooting an image of the calibration field through a monocular camera, extracting the image coordinate of the control point, carrying out the camera calibration, and obtaining a calibration field; obtaining internal parameters and external orientation parameters of the camera; and S2, controlling the laser range finder to aim at the control point in the calibration field through the non-orthogonal double-axis turntable. Submillimeter-level high-precision measurement can still be realized under the condition of a short baseline, and the problems that the precision in the depth direction is insufficient, the baseline requirement is long, parameters are easy to drift and the like in traditional stereoscopic vision measurement are effectively solved. By introducing a non-orthogonal double-shaft turntable and a visual guidance laser aiming mechanism, autonomous, rapid and accurate measurement of multiple measurement points in a large field of view is realized, and the automation degree and reliability of measurement in a complex environment are remarkably improved.

The invention relates to the technical field of pathological section image recognition, in particular to a method for accurately predicting clinical prognosis of a colorectal cancer patient, which comprises the steps of full-view digital section acquisition, full-view digital section preprocessing, Transformer-dynamic agency attention-Mama network and interpretability analysis. According to the method, firstly, a tissue slice segmentation unit and a preliminary feature extraction unit are integrated, full-view digital slice feature extraction is achieved, then a Transformer-dynamic agency attention coupling architecture is adopted, time sequence dependence modeling is achieved through a multi-layer Mama module, finally, a feature aggregation unit is used for outputting patient risk scores, and the patient risk scores are obtained. And realizing visual explanation of the model decision by adopting a thermodynamic diagram. According to the method, through fusion of long sequence data processing, a dynamic agency attention mechanism and a state space modeling technology, the technical bottlenecks of insufficient feature characterization capability, difficulty in long-range dependence modeling and the like in traditional pathological image analysis are solved.

The invention discloses a non-contact measurement system and method for full-field deformation of a fuselage in an airplane crash test, and belongs to the technical field of airplane structure strength testing, and the method comprises the steps: making a high-quality speckle pattern on the surface of the fuselage, and laying cooperation mark points; a binocular camera flexible self-calibration method is used for completing calibration of the stereo measurement system; unification of global coordinates of multiple systems is assisted through unmanned aerial vehicle photogrammetry; a synchronous controller is adopted to trigger multiple sets of systems to synchronously collect images in the falling and collision process; obtaining the motion trail and speed of the key measuring point based on a mark point positioning tracking and stereoscopic vision principle; acquiring a full-field three-dimensional displacement field and a strain field based on a digital image correlation method guided by a control point and a stereoscopic vision principle; and deformation visualization representation is realized through image splicing and data fusion. According to the invention, non-contact, high-precision and full-field dynamic measurement of the three-dimensional deformation field in the falling and collision process of the whole large aircraft is realized, and technical support is provided for analysis and evaluation of falling adaptability of the aircraft structure and verification of anti-falling and anti-collision design.

The invention relates to the technical field of strain measurement, in particular to a three-dimensional full-field strain measurement method and system based on multi-view collaboration, and the method comprises the steps: constructing a sparse topology skeleton model of a measured target under a global coordinate system, and building a bidirectional projection mapping relation between the global situation and each local situation; the method comprises the following steps: synchronously acquiring a time sequence texture feature image of a measured target, calculating a luminosity geometric coupling confidence tensor of each pixel point and extracting an initial texture feature field under each view angle; utilizing a skeleton model to guide the initial texture feature field to perform limited local matching, and resolving to obtain a local independent displacement field and residual energy distribution of each view angle; performing multi-view weighted fusion based on a bidirectional projection mapping relation, and reconstructing a global three-dimensional displacement field; and performing differential calculation on the global three-dimensional displacement field to obtain a deformation gradient tensor and generate three-dimensional full-field strain distribution. According to the method, gradient mutation caused by view field splicing errors can be effectively inhibited, and physically real and full-field continuous three-dimensional strain distribution is obtained.

The invention discloses an object tiny deformation measurement method and system based on interference fringe analysis, and belongs to the technical field of optical measurement. The method comprises the following steps: acquiring an interference fringe image and probe position and direction data; carrying out phase demodulation and sensitivity vector calculation on the surface of a measured object; obtaining the local phase number of each probe according to the interference image; calculating sensitivity vector data through a geometrical relationship; obtaining global phase and sensitivity data, obtaining initial full-field phase data through a weighted fusion method based on a geometrical relationship between a sensitivity vector and a deformation direction, calculating a consistency error, judging whether the consistency error exceeds a threshold value or not, if so, updating a deformation direction estimation value, and executing fusion processing again; and solving and obtaining three-dimensional deformation field data through a linear relation until the error meets the requirement or reaches the maximum number of iterations. According to the invention, the reliability and early warning capability of structural safety assessment in long-term monitoring can be improved.

The invention discloses a multi-field coupling intelligent inclination angle plane physical similar simulation experiment system and method. The system comprises an experiment platform with a controllable inclination angle, a stress monitoring module, an optical deformation monitoring module and an acoustic emission monitoring module. The experiment platform realizes high-precision adjustment and stable maintenance of an inclination angle of + / -0.1 degree through cooperation of hydraulic drive and a mechanical lock. The stress module adopts a wireless sensor network to monitor a stress field; the optical module is used for measuring full-field displacement strain based on a CCD camera and a digital image related technology; and the acoustic emission module positions a rock stratum fracture signal through the probe array. The method comprises the steps of platform deployment, inclination angle adjustment, system debugging, synchronous mining monitoring and the like. According to the invention, inclination angle accurate control and multi-physical field information synchronous integrated acquisition are realized, and the system is suitable for inclined coal seam mining rock stratum movement and disaster mechanism research.

This application provides a vibration element measurement device, comprising: a laser assembly for illuminating the test area of ​​the vibration element under test, wherein the surface of the vibration element under test located in the test area is provided with speckle patterns; two camera assemblies, respectively arranged on both sides of the test area of ​​the vibration element under test, for capturing speckle images of the vibration element under test during its movement; and a gimbal, on which the two camera assemblies are mounted, the gimbal being used for off-axis focusing of the camera assemblies. By arranging the two camera assemblies on both sides of the test area of ​​the vibration element under test and using the gimbal for off-axis focusing, the two camera assemblies can achieve full-field focusing of the test area of ​​the vibration element under test, thereby acquiring clear speckle images of each speckle pattern, thus achieving accurate measurement of the three-dimensional displacement and / or strain of the vibration element under test.

Exemplary systems, method and compute-accessible medium can be provided, e.g., for a visual stimulation or an optogenetic activation during a scan of at an object. For example, it is possible to utilize a controller which can be configured to receive signal information regarding the scan, and to precisely control a light engine. The exemplary control of the light engine can be used to activate and deactivate a light source or a plurality of light sources (e.g., one or more at least one light emitting diodes). using the signal information. For example, a digital micromirror device can be utilized through which the light engine is precisely controlled for a full field projection, or patterned projection, wherein the light engine can comprise up to eight high power light sources.

The application discloses a digital phase-shifting phase recovery method of ESPI fringe pattern based on distance mapping, which comprises the following steps: 1) extracting the direction of each pixel point of the fringe pattern, and then calculating the normal curve of the fringe according to the fringe direction to obtain the moving direction of the fringe; 2) extracting the center line of the dark fringe, calculating the width of the fringe according to the center line of the fringe, and obtaining the moving distance of the fringe through distance mapping; 3) comprehensively moving the direction and the distance, and performing digital phase-shifting on the initial fringe pattern point by point, and adopting the bilinear gray interpolation to obtain the fringe pattern after digital phase-shifting; 4) calculating the wrapped phase corresponding to the fringe pattern; and 5) performing unwrapping processing on the wrapped phase to recover the full-field phase of the fringe pattern. The application extracts the phase through the digital image processing technology on the single fringe pattern, avoids the problem of inaccurate phase-shifting existing in the traditional physical phase-shifting technology in dynamic measurement, and can effectively improve the accuracy of the phase recovery of the single fringe pattern.

The application relates to the technical field of electronic data digital processing, and discloses a two-end full-frame support beam stress state in-situ finite element simulation method based on mixed reality. The method obtains a three-dimensional geometric model of a support beam and a support base through a mixed reality device, and utilizes a high-frame-rate camera to capture full-field displacement data under an excited state; a finite element model taking the rotation stiffness of the support base as an unknown parameter is constructed, and a real stiffness value is reversely identified through an iterative optimization algorithm; the corrected model is solved under a design load, and stress, strain and deformation nephograms are spatially registered and superimposed on the real structure through the mixed reality device. The system comprises five modules, namely, three-dimensional perception, micro-variation capture, boundary identification, model updating and mixed reality visualization. The application realizes accurate in-situ boundary condition identification, non-contact nondestructive testing and immersive visual evaluation, and significantly improves the accuracy and efficiency of structural safety analysis.

The present invention relates to a system (1) for in vivo full-field transmission interference cell resolution imaging of an eye (6) of an individual and to a method (100) for in vivo full-field transmission interference imaging of an eye (6) of an individual.

1. The name of the design product: high-resolution microwave full-field deformation and vibration displacement measuring instrument. 2. The use of the design product: applied to the monitoring of vibration, displacement and deformation of aerospace, large bridges, buildings and structural parts. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

The application provides a high-precision calibration method, device and equipment for mapping camera interior orientation elements and a storage medium. The method comprises the following steps: firstly, using a collimator and an electronic theodolite to independently calibrate the rotary table angle positioning error and the parallel light tube optical axis pointing deviation, respectively, to generate an error correction model and a space angle matrix, and converting the device system error into a known quantity that can be compensated; secondly, using a positive and negative mirror center-finding method to iteratively converge to determine the accurate intersection point of the sight axis and the target surface as the main point initial observation value and the sight axis reference angle, and eliminating the uncertainty of the main point; finally, starting from the reference angle to perform full field scanning and collection, and jointly substituting the corrected angle data, the angle matrix and the main point observation value into the collinearity condition equation for overall adjustment solution, so that the interior orientation elements and the distortion parameters purely reflecting the characteristics of the camera itself are solved under the premise that various system errors have been stripped one by one.

The present application relates to pathological section image recognition technical field, specifically to a kind of accurate prediction colorectal cancer patient clinical prognosis method, including full field digital slide acquisition, full field digital slide preprocessing, Transformer-dynamic proxy attention-Mamba network and explainability analysis.The method first integrates tissue section segmentation unit and preliminary feature extraction unit, realize full field digital slide feature extraction, then adopt Transformer-dynamic proxy attention coupling architecture, and realize time series dependence modeling by multilayer Mamba module, finally use feature aggregation unit to output patient risk score, and use heat map to realize the visualization explanation of model decision.The present application solves the technical bottlenecks such as insufficient feature representation ability and long-range dependence modeling difficulty in traditional pathological image analysis by fusing long sequence data processing, dynamic proxy attention mechanism and state space modeling technology.

The invention relates to the technical field of mechanical property testing, in particular to a laminated plate mechanical property evaluation method and system based on strain data. The method comprises the following steps: performing a biaxial tensile experiment on a laminated plate sample, synchronously acquiring load time-history data and a full-field speckle image, constructing a full-field strain matrix through a mapping algorithm, dispersing the full-field strain matrix into nodes, dividing a core pure shear region and a stress diffusion region, and then obtaining first principal strain through principal component analysis; a load transmission efficiency attenuation spectrum and full-field strain energy entropy density are calculated respectively, a dynamic correction model is constructed in combination with weighted coupling of preset shape characteristic parameters, and a real constitutive curve is obtained by using the model to calculate correction coefficient inversion nominal stress; the thermodynamic entropy characteristic is introduced, so that the problem that the stress field distortion at the nonlinear damage stage of the material is difficult to sense by a traditional method is solved, and the biaxial mechanical property test precision of the laminated plate is effectively improved.

The embodiments described herein provide a metrology tool and method for acquiring a full field optical field of an optical device to determine a number of metrology metrics of the optical device. The metrology tool is utilized to split a light beam into a first light path and a second light path. The first light path and the second light path are superimposed into a superimposed light beam and sent to a detector. The detector measures the intensity of the superimposed light beam. The first and second equations are utilized in combination with the intensity measurements to determine the amplitude and phase ip at a reference point directly adjacent to the second surface of the at least one optical device.

This invention relates to a method, system, and medium for monitoring large structural displacements based on zero-shot unsupervised video segmentation and super-resolution. The monitoring method includes: acquiring a monocular low-resolution video sequence of the structure; automatically generating a temporally consistent mask of the structural target throughout the entire video sequence by inputting simple prompt information in the first frame based on a zero-shot video segmentation model; spatially cropping and reducing the dimensionality of the video sequence using this mask; enhancing the resolution and denoising the processed video using a super-resolution reconstruction network based on unsupervised degradation modeling; analyzing frame-by-frame using an improved dense inverse search optical flow algorithm to extract the full-field displacement field of the structural surface; performing statistical analysis; and finally outputting the displacement response of the entire structure or key parts. Compared with existing technologies, this invention achieves non-contact monitoring without target points, making it particularly suitable for architectural heritage and effectively improving the accuracy and robustness of displacement monitoring under complex conditions such as low resolution, noise, lighting changes, and occlusion.

The invention discloses an electron beam focusing parameter adaptive calibration method based on regional recursive splitting and analytic field guidance, and belongs to the technical field of electron beam equipment precision control. In order to solve the problems of low full-field uniform sampling efficiency and poor sparse sampling precision in large-view-field electron beam processing, the invention provides a dual-drive adaptive sampling strategy. According to the method, a theoretical curvature distribution diagram is constructed by using an electron optical analytical field to serve as prior guidance, and a distortion sensitive area in a view field is identified according to a multi-dimensional feature fusion criterion of physical prior, differential field nonlinearity and an actual measurement form; a recursive regional geometric subdivision structure is adopted to perform recursive splitting and encrypted sampling on the sensitive region, and narrow window rapid search is realized in combination with a parameter inheritance strategy; and finally, reconstructing a full-field high-precision model based on a scattered data interpolation algorithm. According to the method, sparse sampling can be automatically carried out in the smooth field curvature change region, encryption sampling can be carried out in the severe distortion region, and the calibration efficiency is remarkably improved on the premise of ensuring high focusing precision.

1. Name of the product in this design: Swimming Goggles (Full Field of Vision, Frameless). 2. Purpose of this design: This design is for use as swimming goggles worn while swimming. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

The invention belongs to the technical field of experimental mechanics and precision optical measurement, and particularly relates to a magneto-rheological shock absorber full-surface deformation monitoring system, which comprises an annular multiplexing image acquisition array unit, which comprises six high-speed industrial cameras uniformly arranged on an annular rigid bracket, and the optical axes of the high-speed industrial cameras point to the center of a measured object; the stereoscopic vision measurement unit chain is used for enabling the six high-speed industrial cameras to form six stereoscopic vision measurement units which are connected end to end through multiplexing of adjacent view fields; the synchronous control unit is used for controlling the high-speed industrial camera to perform synchronous exposure acquisition in a microsecond error range; the calculation processing unit is used for executing closed-loop global calibration, three-dimensional point cloud reconstruction, coordinate system unification and full-field strain calculation; on the basis, the limitation that independent binocular systems need to be stacked in traditional annular detection is broken through, 360-degree full coverage of binocular stereoscopic vision can be achieved only through six cameras by means of adjacent multiplexing topological structures, and the hardware cost is remarkably reduced.

The application relates to a survey method and device for deployment directions of all components of a photovoltaic power station and electronic equipment, wherein the method comprises the following steps: constructing a basic image model of the photovoltaic power station containing three-dimensional space positions; constructing an identification rule of photovoltaic components in the basic image model, and establishing a model identification rule based on image characteristics corresponding to the frame and panel of the photovoltaic components to extract a calculation image model; determining three-dimensional space coordinates of a photovoltaic component support row in the calculation image model to identify an azimuth angle and an inclination angle, and generating deployment direction information of all components in the photovoltaic power station. Thus, the problems in the prior art that the number of photovoltaic components is large, the on-site direction distribution is complex and changeable, the manual on-site measurement method is low in efficiency and insufficient in measurement accuracy, the actual direction distribution of all components cannot be quickly and accurately mastered, and the like are solved.

The invention provides an electric power facility full-field three-dimensional vibration identification method based on binocular stereo vision, and the method comprises the steps: obtaining a binocular video stream of the vibration of an electric power facility, and extracting key points in a region of interest and corresponding depth information; performing time dimension cross-frame matching on the left and right eye video streams, and constructing a left and right eye key point track chain; establishing a mapping relation of left and right eye key points in the same frame, and mapping a right eye key point track to a left eye camera coordinate system to be fused with a left eye key point track in combination with an external parameter matrix calibrated by a binocular camera to generate a two-dimensional fusion track; mapping the depth information to a two-dimensional fusion track, and back-projecting the two-dimensional fusion track combined with the depth information to a world coordinate system based on an internal reference matrix calibrated by a binocular camera and a preset space coordinate conversion relation to obtain a three-dimensional vibration coordinate sequence; and performing time-frequency transformation processing on the three-dimensional vibration coordinate sequence, and identifying a vibration type by using a pre-trained deep learning classification model based on transformed frequency domain features.

The invention solves the technical problem that the traditional optical measurement technology cannot carry out lossless and full-field visual measurement on the internal transient flow field of a suona horn and other musical instruments, and belongs to the technical field of national musical instrument acoustic optical measurement and playing evaluation. The invention discloses a schlieren imaging defect detection method and system based on multi-modal feature fusion and mixed data enhancement. The method comprises the following steps: acquiring a schlieren image of a suona horn; extracting macroscopic flow field morphological characteristics and microscopic physical quantity characteristics of the schlieren image; on the basis of macroscopic flow field morphological characteristics and microscopic physical quantity characteristics, suona horn quality and defect types are judged through a classification model; and based on the synchronously acquired acoustic parameters, verifying a judgment result and forming a flow field-acoustics combined judgment system. The suona horn quality can be judged by utilizing the schlieren image features, the to-be-improved direction of the inferior suona horn is given, and a visual means is provided for suona horn quality detection.

The application discloses a kind of aircraft crash test machine body full-field deformation non-contact measurement system and method, belong to aircraft structure strength test technical field, comprising: high-quality speckle pattern is made on the surface of fuselage and is laid cooperation mark point;Using binocular camera flexible self-calibration method completes stereoscopic measurement system calibration;Through unmanned aerial vehicle photogrammetry auxiliary multi-system global coordinate unification;Synchronous controller triggers multiple systems synchronous acquisition crash process image;Based on mark point positioning tracking and stereovision principle obtains key measuring point motion trajectory and speed;Based on control point guided digital image correlation method and stereovision principle obtain full-field three-dimensional displacement field and strain field;Realize deformation visual representation by image stitching and data fusion.The application realizes the non-contact, high-precision, full-field dynamic measurement of three-dimensional deformation field in the whole machine crash process of large aircraft, provides technical support for aircraft structure crashworthiness analysis and evaluation and anti-crash design verification.

A computer implemented method of estimating tissue density of a body part of a subject from a medical image of tissue of the body part of the subject includes receiving at least one medical image of tissue of the body part of the subject, the received medical image being from a first imaging modality or a second imaging modality, estimating tissue density of the body part from the at least one medical image using a deep-learning model pretrained using images from the first imaging modality and images from the second imaging modality, and outputting an estimate of tissue density of the body part of the subject based on the tissue density estimated by the deep-learning model.

The invention discloses a piezoelectric composite system vibration response image analysis and dynamic processing system, and relates to the technical field of image analysis and processing, and the system comprises a data acquisition module which is used for obtaining a vibration response image sequence of a piezoelectric composite material under mechanical vibration excitation, the full-field displacement data and the vibration response image sequence are synchronously collected, and the frequency, the waveform and the amplitude of the mechanical vibration excitation are all controllable; the neural network processing module is used for inputting the vibration response image sequence and the full-field displacement data into a preset single encoder-single decoder parallel multi-task head structure, and jointly outputting an enhanced vibration characteristic pattern and a sub-pixel-level displacement field in an equivalent displacement mode length single channel form; the method has the beneficial effects that the electron-hole separation efficiency is represented in real time with high precision, and the parameters of mechanical vibration excitation are automatically adjusted in real time according to the current real force-electricity coupling state of the material.

The invention relates to a vibration distribution test system based on a high-speed image sequence, which can completely and efficiently obtain structural dynamic characteristics in a test process of an airspace engine, and solves the technical problem that an existing vibration test method cannot give consideration to full-field visualization and high-speed transient measurement under complex conditions. The system comprises a vibration damping device, an adjusting device arranged on the vibration damping device, a light supplementing lamp and a high-speed camera which are arranged on the adjusting device, a measurement and control case and an upper computer, a vibration sensor is arranged on the high-speed camera; the measurement and control case is in communication connection with the light supplementing lamp, the vibration sensor, the high-speed camera and the upper computer. By designing the damping device, the influence of factors such as vibration and impact on non-contact test equipment in a complex environment of an airspace engine test is reduced, so that the vibration interference suffered by a high-speed camera in an airspace engine test scene is reduced to 1 / 5; according to the design, the application of the vibration distribution test is not limited by complex environments such as vibration, impact and the like.

This invention discloses a method for updating a long-service hydraulic twin model based on multi-fidelity Bayesian methods. It involves collecting non-contact, full-field micro-vibration time-history data of hydraulic structures and extracting high- and low-fidelity data observations. Combining macroscopic physical aging equations, a time-varying degradation prior probability distribution with historical memory is constructed. Based on the high- and low-fidelity data observations, a spatially and mechanistically heterogeneous multi-fidelity twin architecture is built. A spatial covariance matrix of full-field measurement points is introduced, and the Bayesian heterogeneous MCMC method is used to infer parameters of the multi-fidelity twin architecture until convergence. The high-confidence posterior parameters of the structural physical parameters and boundary nonlinear stiffness are mapped to the long-service hydraulic twin model, enabling high-frequency adaptive evolution and synchronous updating of the full life-cycle state of the long-service hydraulic structure digital twin under complex uncertainties.