46 results about "Microscopic scale" patented technology

The invention belongs to the technical field of geological research, and discloses a multi-scale lithofacies identification and sedimentary microfacies reconstruction method and system, and the method comprises the steps: data collection and preprocessing: collecting core data, slice data, logging data and seismic data of a research region; multi-scale lithofacies feature extraction, wherein the multi-scale lithofacies feature extraction comprises micro-scale feature extraction, medium-scale feature extraction and macro-scale feature extraction; constructing and training a multi-scale lithofacies recognition model, constructing the multi-scale lithofacies recognition model by adopting a deep learning algorithm, and taking the extracted microscopic, mesoscopic and macroscopic lithofacies features as input data; multi-scale lithofacies identification: extracting multi-scale lithofacies features from the preprocessed multi-source data; and sedimentary microfacies reconstruction: establishing a lithofacies-sedimentary microfacies conversion relation in combination with a sedimentology principle and a geological knowledge base. According to the method, multi-source data such as rock cores, slices, logging and earthquakes are integrated, lithofacies features are extracted from microcosmic, mesoscopic and macroscopic multiple scales, the features and changes of lithofacies can be comprehensively and accurately reflected, and compared with a traditional single-scale method, the accuracy and reliability of lithofacies recognition are improved.

The invention relates to the field of atmospheric pollution diffusion simulation, and particularly discloses a multi-scale coupled atmospheric pollution diffusion simulation system, which comprises a data source module used for collecting and integrating various data sources including meteorological data, topographic data, pollution source data and atmospheric pollutant concentration data, and providing basic information for simulation; the multi-scale modeling module further comprises a micro-scale model for simulating a detailed diffusion process of pollutants in a local area by calculating a fluid dynamics equation based on a fluid dynamics principle; by integrating various data sources such as meteorological data, topographic data, pollution source data and atmospheric pollutant concentration data, the system can provide more comprehensive and accurate basic information, so that the simulation precision is improved; the combination of microscopic, mesoscopic and macroscopic scale models can respectively capture pollutant diffusion characteristics under different scales, so that the simulation result is more detailed and real.

The invention belongs to the field of rock mechanics, and particularly discloses a shale multi-scale mechanical property characterization method which comprises the following steps: acquiring mechanical parameters of shale under a macroscale through a triaxial compression experiment; obtaining mechanical parameters of the shale in a mesoscale through a micron indentation experiment; generating a shale surface modulus distribution diagram through a modulus imaging experiment, and combining with an SEM-EDS experiment to determine the composition and elastic modulus of microscopic minerals of the shale; a Mori-Tanaka method is used for carrying out scale upgrading on the micromechanical properties of the shale, the equivalent mechanical parameters of the shale under the macroscopic scale are obtained by integrating the volume fractions, the elastic parameters and the porosity of all phases of microminerals in the shale, and the micromechanical properties and macroscopic response of the microminerals are effectively bridged. According to the method, the anisotropy of the shale in the dimension is disclosed from multiple scales, and the mechanical behaviors and the internal relation of the shale in the macroscopic scale and the microscopic scale are comprehensively disclosed.

The invention discloses an abrasive water jet rock breaking simulation method based on a DEM-CFD coupling method. Establishing an EBPM bonded rock mass discrete element model through a discrete element DEM, and calibrating mesoscopic parameters through a virtual mechanical test; simulating a water-abrasive two-phase flow through fluid dynamics CFD, and adopting a Gidaspow drag force model; the DEM-CFD bidirectional interface realizes real-time coupling; carrying out post-treatment to extract an erosion morphology and a crack network; the method can effectively simulate the rock mass fracture process and the large deformation behavior in the water jet rock breaking process and reveal rock mass damage evolution from the microscopic scale, and can be widely applied to research of water jet assisted rock breaking in the fields of civil engineering, mining, petroleum energy, marine resources and the like.

The invention provides a geological unit attribute characterization method and system based on multi-scale cascade fusion, and belongs to the technical field of geotechnical engineering. The method comprises the steps that seismic wave data and sound wave data of a target area are acquired and preprocessed; performing parameter consistency conversion on the seismic wave data and the sound wave data by using the scale conversion coefficient; dividing the target area into grids of different scales based on the geological attribute change rate; on the basis of the divided grids, the converted seismic wave data and the converted sound wave data are input into a cascade fusion model, the converted seismic wave data serve as the basis of a macroscopic model, the sound wave data serve as local fine constraints, and attribute fusion of the seismic wave data and the sound wave data is achieved through a multi-scale coupling algorithm; and carrying out attribute prediction by using an attribute prediction algorithm to obtain a geological unit attribute representation graph. The synergistic effect of macroscopic and microscopic scales is effectively realized, and the problems of insufficient seismic wave and drilling sound wave data fusion and insufficient precision in the prior art are solved.

A method of imaging vascular activity at microscopic scale in at least one region of a network of blood vessels of a human or animal organ, the method comprising: (a) emitting a series of consecutive incident ultrasound waves in the at least one region by an ultrasound transducer array extending in at least one direction, the incident ultrasonic waves are propagated in the direction perpendicular to the transducer array; (b) acquiring a set of raw data from the backscattered ultrasound by the transducer array; (c) generating a series of continuous ultrasound images according to the original data; (d) detecting at least one isolated ultrasound contrast agent in the ultrasound image; (e) locating the position of the at least one isolated ultrasound contrast agent at a precision lower than the wavelength of the wave; (f) generating an at least two-dimensional backscatter amplitude image by assigning, to each pixel, a value representative of the measured backscatter amplitude of the at least one isolated ultrasound contrast agent detected in that pixel.

The present disclosure proposes a method and apparatus for imaging at a microscopic scale a region of an organ of a human or animal, allowing the use of a 2D subsampled ultrasound probe while providing 3D ULM images with high resolution usually obtained only with a full 2D array matrix, by sorting the detected microbubbles and keeping only the microbubbles corresponding to the spots belonging to the main lobe of the Point Spread Function (PSF) of the microbubble and removing the phantom microbubbles corresponding to the spots belonging to the side lobes. It is also possible to provide a 3D non-invasive imaging of the microvascular flow of the region of an organ, such as a brain in-vivo, with high resolution and high sensitivity.

The invention discloses a geomagnetic disturbance geoelectric field calculation method based on a block geoelectric structure, relates to the technical field of geomagnetic disturbance geoelectric field calculation, and solves the technical problem of low GIC calculation accuracy in complex geology. According to the method, in a macroscopic scale, a one-dimensional conductivity model is inverted by using long-period magnetotelluric sounding, and a regional structure framework is delimited by combining a geological map, so that the accuracy of a global electrical background is ensured; a three-dimensional electrical structure is constructed through audio magnetotelluric sounding in the mesoscale, a secondary geological unit is recognized, and the problem that a traditional model is insufficient in depicting transverse electrical differences is solved; in the microscopic scale, for a key area, high-density resistivity imaging and a controllable source audio magnetotelluric method are used for capturing a high-conductivity / low-resistance anomalous body, and fine modeling of a local area is achieved; according to the method, the geological complexity is mined through the multi-scale model, so that the calculation precision of the GIC is improved.

The invention relates to a cross-wavelength response integrated biosensor which comprises a plurality of periodic units, and each periodic unit comprises a substrate layer, a dielectric layer and a metal layer which are sequentially arranged from top to bottom; the metal layer comprises a plurality of metal structure units, each metal structure unit comprises a metal wire and two discrete metal split rings, and the metal wire and the metal split rings are formed by nano particle arrays. According to the invention, a plurality of independent sensors are not needed, and high-sensitivity sensing response of the THz wave band and the optical wave band can be realized only by a single integrated structure; in a single sensor, high-sensitivity detection of biomolecules from small to sub-nanometer scale and from large to micron scale can be realized at the same time; on the microscopic scale, the THz resonance sensitivity of the sensor can reach 63.9 GHz / RIU; on the nanoscale, when the incident wavelength is 785 nm, the SERS enhancement factor of the sensor is 8.8 * 10 < 4 >; the response performance of the biosensor can be realized by optimizing the structural parameters, geometrical shapes, unit arrangement and the like of the metal layer.

To provide a material that can reliably provide highly accurate and precise features on a microscopic scale. [Solution] A method for densifying an expanded polyethylene (ePE) substrate, the method comprising the steps of: providing an ePE substrate having a first density and a first size; selectively densifying a portion of the ePE substrate to form a densified portion of the ePE substrate, wherein the densified portion of the ePE substrate has a second density greater than the first density, and the densified portion of the ePE is a densified pattern; and shrinking the ePE substrate to a second size, thereby reducing the densified pattern to a fine densified pattern, wherein the second size is smaller than the first size, and the fine densified pattern is smaller than the densified pattern.

The invention provides a shale oil light and heavy component and ratio spatial distribution visualization method and system based on a CLSM laser spectrum, and belongs to the technical field of crude oil component analysis. The problem of how to visualize spatial distribution and proportion analysis of light and heavy components of crude oil is solved. The method comprises the following steps: exciting a crude oil sample by using 488nm laser, and collecting fluorescence signals in wave bands of 490nm-510nm and 680nm-710nm to respectively represent light and heavy components; and extracting the fluorescence intensity of each pixel point, calculating the fluorescence intensity of light and heavy components, associating R with the crude oil density through a regression model, and setting thresholds R1 and R2 to classify the components, thereby realizing the spatial distribution visualization of the crude oil components on the microscopic scale. The method is accurate in quantification and visual in result, solves the problems of low spatial resolution and difficulty in component distinguishing in the prior art, and is suitable for oil reservoir evaluation and development optimization.

The invention discloses a carbonate rock cross-scale mechanical property characterization method. The carbonate rock cross-scale mechanical property characterization method comprises the following steps: S1, basic physical property characterization; s2, processing a carbonate rock micromechanics experiment sample; s3, scanning electron microscope observation and microcosmic mineral identification; s4, correcting the area function of the needle tip of the pressing needle; s5, testing the micromechanical property of the carbonate rock mineral; s6, carrying out data arrangement on the micro-mechanical properties and the composition proportion; and S7, constructing a mechanical upscaling model and calculating macromechanical properties. According to the method, main mineral types in carbonate rocks are identified by utilizing a scanning electron microscope and energy spectrum analysis on a microscopic scale, and then the mechanical properties of different minerals are quantitatively represented by utilizing quasi-static nanoindentations. On the basis, mineral composition proportion information and porosity data are synthesized, an upscaling model of the mechanical property is constructed, and cross-scale prediction and evaluation of the macroscopic mechanical property of the carbonate rock are achieved.

The invention relates to a multi-scale finite element method and system based on sub-model nesting and a medium, and the method comprises the steps: building a preset macro-scale finite element simulation model of a material or a structural member, determining a pre-extraction first-stage sub-model region of a region of interest, extracting a first-stage sub-model, and obtaining a second-stage sub-model region of the region of interest; determining a pre-extracted second-level sub-model region of the concerned region by using the recorded displacement boundary condition of the first-level sub-model, and carrying out finite element simulation of the second-level sub-model; verifying whether the second-stage sub-model meets the simulation of a micro scale; if yes, based on a Voronoi method, a scanning electron microscope or an electron back scattering diffraction method, a crystal plasticity finite element simulation model is established by utilizing the boundary displacement condition of the level sub-model. According to the invention, simulation of stress, deformation or damage evolution of a material microstructure under a complex load is realized.

The invention provides a multi-scale residual feedback seismic inversion method and device for CO2 storage layer identification and electronic equipment. The method comprises the following steps of: decomposing original seismic data and logging data into three levels of data volumes of a macroscale, a mesoscale and a microscale respectively by utilizing wavelet transform; on the macroscopic scale, utilizing the post-stack seismic data to invert the stratum velocity and the tectonic framework; on the mesoscale, the reservoir porosity is inversed by using the pre-stack sub-angle seismic data; on the microscopic scale, the trend and density of the crack are inversed by using azimuth angle seismic data; and taking the residual error of the synthetic data obtained by the next scale inversion and the measured data as a correction term to be fed back to the inversion process of the previous scale so as to restrain and correct the inversion parameters of the previous scale. Earthquake and geological problems are decomposed to different scales such as structures, reservoirs and cracks, and the longitudinal resolution and geological conformity of inversion results are greatly improved.

The invention provides a construction method and device of a phase change energy storage multi-phase-field multi-scale calculation model and a storage medium, and belongs to the technical field of phase change energy storage. The method comprises the following steps: dividing the phase change energy storage system into a micro scale, a mesoscale and a macro scale, and dividing different computational domains based on different scales; constructing physical models of each computational domain, wherein the physical models comprise a micro-scale physical model, a mesoscale physical model and a macro-scale macro continuous model; the physical models of all the computational domains are subjected to parallel calculation, the physical models of all the computational domains are coupled in the parallel calculation process, and real-time transmission of information of all the computational domains is achieved; aiming at the defects of the existing research, a microscopic molecular dynamics algorithm, a mesoscopic lattice Boltzmann algorithm and a macroscopic finite element model are mutually coupled in parallel, and the cross-scale multi-phase field coupling research from a microscopic phenomenon to a macroscopic phenomenon in an energy storage system is realized.

The invention discloses a material failure process virtual space modeling and simulation method and system for a digital test, and the method comprises the steps: collecting the spatial geometric morphology, surface texture features, internal organization structure and service environment parameters of a structural material, and generating multi-source basic data; constructing a three-dimensional digital model based on the multi-source basic data; carrying out multi-physics field coupling modeling and failure mechanism simulation on the three-dimensional digital model under macroscopic, mesoscopic and microscopic scales, and determining a performance evolution process; and loading the three-dimensional digital model through a graphical user interface, controlling a simulation process and outputting a visual result. According to the method, a complete virtual modeling chain of the material failure process is formed from geometric reconstruction to multi-scale modeling and from simulation solution to result visualization; the system supports coupling modeling and data mapping under the microcosmic-mesoscopic-macroscopic scale, and the failure mechanism research depth is improved.

Technique capable of suitably estimating macroscopic characteristics or microscopic characteristics of target structure SOLUTION: An information processing apparatus (1) includes an acquisition unit (11) that acquires one or a plurality of macroscopic feature amounts characterizing a phenomenon of a subject structural body on a macroscopic scale and one or a plurality of microscopic feature amounts characterizing at least one of a structure and a behavior of a component of the subject structural body on a microscopic scale of the subject structural body, and a generation unit (12) that generates a model defining a correspondence relationship between the phenomenon of the subject structural body on the macroscopic scale and at least one of the structure and the behavior of the component of the subject structural body on the microscopic scale of the subject structural body and including one or a plurality of stages of scaling processing with reference to the one or the plurality of macroscopic feature amounts and the one or the plurality of microscopic feature amounts acquired by the acquisition unit.SELECTED DRAWING: Figure 1

The invention discloses a shale reservoir supercritical carbon dioxide fracturing numerical simulation method and system, and belongs to the technical field of unconventional oil and gas exploitation. Mineral phase real microscopic distribution characteristics and multiple groups of microscopic rock mechanical parameters of a sample are obtained; determining the probability that each group of microscopic rock mechanical parameters belong to each mineral phase, and obtaining the average rock mechanical parameter value of each mineral phase; according to the real microcosmic distribution characteristics of the sample mineral phase, generating a microcosmic mineral distribution random field according with the real distribution characteristics of shale; according to the average rock mechanical parameter value of each mineral phase and the shale microscopic mineral distribution random field, the microscopic mechanical characteristics of the microscopic mineral distribution random field are equivalent to the microscopic scale, the microscopic scale is upgraded to the macroscale, a supercritical carbon dioxide fracturing model of the shale reservoir in the in-situ environment is constructed, and numerical simulation is carried out. By means of the method, accurate expression of the nanoscale-millimeter scale-meter scale-mine scale reservoir transformation numerical model can be achieved.

The invention relates to the technical field of spatial information acquisition and application, in particular to spatial information acquisition equipment adopting a semi-transparent screen for large-image-field imaging, which comprises a fixed imaging module and a movable imaging module, the equipment adopts the semi-transparent screen for large-image-field imaging, and then a common camera is used for copying an optical screen. The design thought expands the area of the image sensor into the area of the semi-transparent screen. Therefore, the limitation of the depth of field of an optical system and an image sensor on the technology is reduced, and high-precision three-dimensional reconstruction of centimeter-scale to meter-scale objects is realized through unique optical design and a movable structure. The core innovation lies in that a large-area semi-transparent screen is used as an intermediate image surface, and a fixed optical system and controllable mechanical motion are matched, so that large-image-field and high-resolution depth-of-field scanning imaging is realized, and the technical bottleneck that the traditional SFF is only suitable for microscopic scale is broken through.

This invention discloses an automated cell manipulation method and system guided by artificial intelligence, comprising: identifying and locating the biological target object to be manipulated based on real-time images acquired by a microscopic imaging system to obtain target position information; calibrating and tracking the end-effector position of a micromanipulator based on the real-time images to obtain the real-time end-effector position; planning and dynamically correcting the motion trajectory of the micromanipulator based on the target position information and the real-time end-effector position until the end-effector reaches the preset target operation position, and controlling the micromanipulator to execute a preset interactive operation; verifying the operation result based on the real-time image after the operation to obtain the verification result, and controlling subsequent processes based on the verification result. This invention overcomes the inherent defects of traditional manual operation and semi-automated solutions in microscale cell manipulation through an end-to-end intelligent process, achieving high-precision, high-throughput, high-success-rate, and highly standardized cell manipulation.

The application discloses a kind of fracturing perforation hole erosion effect multiscale characterization simulation method and device.The method comprises the following steps: establishing wellbore hole erosion experiment under different experimental conditions of different hole cluster types;Quantitative description and characterization of hole erosion are carried out according to experimental data, and hole erosion expansion characteristic expression is obtained;Expansion characteristic expression and hole erosion modeling parameter are used to establish microscale hole erosion expansion characteristic model;Based on experimental data and expansion characteristic model, the hole erosion flow distribution and sand passing rule under different hole cluster types are obtained, and the hole erosion expansion non-uniformity coefficient and perforation flow distribution coefficient of different perforation clusters are established;Hole erosion expansion characteristic expression, non-uniformity coefficient and flow distribution coefficient are introduced into macroscopic field crack propagation model, and macroscopic field crack propagation model capable of simulating perforation hole erosion expansion characteristic is constructed.The influence of different perforation hole expansion on crack non-uniform expansion can be simulated in detail, and the accuracy of simulation characterization is improved.

The present invention discloses a method for predicting the remaining life of a multi-state complex system with digital-analog linkage, which specifically comprises the following steps: step 1: using a three-state hidden semi-Markov model to describe the degradation process of the system, wherein the three states include a healthy state A, an unhealthy state B, and a failure state; step 2: analyzing the residence time distribution of the multi-state complex system in the hidden state and the state transition probability from macroscopic and microscopic scales; step 3: converting the continuous-time three-state semi-Markov chain into a multi-state Markov chain through hyper-Erlang distribution and transition probability; step 4: constructing a random degradation model; step 5: estimating unknown state parameters and observation parameters in the random degradation model; and step 6: predicting the remaining life of the multi-state complex system in real time based on the estimated state parameters and observation parameters.

The present disclosure concerns an ultrasound 3D imaging probe (200) for imaging vascular activity dynamically at a microscopic scale in an organ of a body of a living being, the probe (200) comprising : - a mosaic ultrasound array (100) comprising a plurality of polygonal transducer element pads, each pad (101) comprising a set of transducer elements (102) distributed on a substrate (103), each transducer element (102) being configured to acquire at least a backscattered ultrasound wave from the organ following an ultrasound emission in said organ; - a support frame (10) comprising an intern surface intended to be placed facing said body; - each polygonal transducer element pad (101) being located and attached in a removable manner on said internal surface of the support frame (10).

The invention relates to the technical field of laser engraving, and discloses a device for engraving complex textures of glass and an engraving method thereof.The device comprises a nano-structure preparation module used for constructing a nano-particle structure corresponding to glass to be engraved; the process planning module is used for generating a laser engraving path and key laser parameters of the to-be-engraved glass; the signal monitoring module is used for synchronously monitoring a plasma optical signal corresponding to the nano-particle structure in the initial carving texture forming process; the optimization control module is used for generating an online control instruction set and a self-adaptive parameter optimization strategy of the glass to be engraved; and the online correction module is used for carrying out precision correction processing on the initial carving texture based on an online control instruction set and a self-adaptive parameter optimization strategy. According to the method, the texture form of glass carving can be accurately controlled on the microscopic scale, and the overall carving level of glass complex textures is improved.

The invention relates to a method for predicting the mechanical property of a metal additive manufacturing forming component, and belongs to the technical field of material science. Macroscopically, a finite cell method is adopted to directly carry out regularized grid discretization on computed tomography data, and a complex pretreatment process is avoided; the self-consistent clustering analysis is adopted for solving in the microcosmic process, so that the microcosmic calculation efficiency is greatly improved; and the two scales are coupled in real time for data transmission. A concurrent two-scale solving strategy is adopted to replace an existing single-scale technology, and the influence of a low scale (micro scale) on a macro scale can be naturally considered; a macroscopic finite cell method is adopted to replace a macroscopic finite element method adopted by an existing concurrent multi-scale technology, and a complex pretreatment process is avoided. Microscopic self-consistent clustering analysis is adopted to replace a microscopic crystal plasticity finite element method adopted by an existing concurrent multi-scale technology, model order reduction is carried out on a microscopic representative volume unit, and the calculation efficiency is greatly improved.

The invention discloses a cross-scale alloy material intelligent calculation method and system, and belongs to the technical field of material calculation and computer simulation. The core of the method is that firstly, a genome integrating cross-scale alloy calculation of first principle calculation, chemical and physical process simulation, finite element analysis and the like is constructed; secondly, bidirectional adaptation and conversion of input and output data between models of different scales are achieved through a model adaptation conversion layer, and conversion comprises data disturbance analysis based on a neural network and conversion of microstructure data into a mesoscopic computable model; finally, alloy material calculation task data is driven to be subjected to chain type step-by-step calculation along the model genome to obtain the macroscopic performance of the alloy material, and attribution analysis from macroscopic performance change reverse tracing to microscale parameter disturbance is achieved by setting multiple sets of parameter disturbance. According to the method, a scale gap in material calculation is effectively broken, automatic and high-throughput calculation and accurate attribution from atoms to macroscopicity are realized, and the efficiency and depth of new material research and development are greatly improved.

The application provides a solution refractive index real-time detection method based on amplification imaging and machine vision, which comprises the following steps: step A, illumination light emitted by an illumination light source is irradiated to a microscopic scale, and forms light carrying microscopic scale information, and then sequentially passes through a sample flow cell and a hollow glass block, and is emitted to an image sensor; step B, the emitted light is imaged on the image sensor, the image information of the microscopic scale on the image sensor is recorded, the image sensor is driven to displace through a focusing algorithm, until the imaging of the microscopic scale is a clear image, and the axial position of the image sensor is recorded, and the solution refractive index is analyzed according to the relationship between the axial position of the image sensor and the solution refractive index; step C, the magnification of the object image of the microscopic scale on the imaging system is analyzed through the imaging size of the microscopic scale on the image sensor, and the solution refractive index is inversely calculated, and the solution refractive index obtained in step B is compared, and the redundancy of system measurement is improved.

Method for imaging vascular activity dynamically at a microscopic scale in a vascular network of a human or animal, the method including: (a) performing a temporal series of Ultrasound Localization Microscopy images of a region of the vascular network, to obtain values of a vascular dynamics parameter in an area of interest in the region, a recording period of the temporal series of ULM images corresponding to a dynamical event, due to a cause other than cardiac pulsatily, which activates the vascular network in the region; (b) computing, based on the values of the vascular dynamics parameter, a measure of an evolution of the vascular dynamics parameter in response to the dynamical event.

The present invention belongs to the research fields of geochemistry and structural geology, and discloses a stress gradient analysis method based on the directional change of brine inclusions in FIP. The present invention systematically collects and quantitatively analyzes the size, morphology and distribution characteristics of brine inclusions in FIP in different directions, constructs a stress gradient evolution model, and thus reveals the spatial variation of the local tectonic stress field. Compared with the traditional stress analysis method mainly based on macroscopic structures, the present invention focuses on the stress response behavior at the microscopic scale, combines various precise testing means such as microscopic observation, pressure measurement, and cathodoluminescence, and realizes the technical path of directly inverting the tectonic stress gradient from the microscopic structure. This method can be widely applied to geological research in tectonic environments such as fault zones and shear zones, provides a new technical means for crustal stress field analysis, and has important research value and broad application prospects.