395 results about "Macroscopic scale" patented technology

This invention relates to a method for measuring the dielectric constant of fibers. The method includes the following steps: First, composite material and pure matrix samples are prepared, and the reflection loss curve of the composite material and the complex dielectric constant of the matrix are measured in the 1-18 GHz frequency band. Second, a realistic three-dimensional microstructure model of the composite material is reconstructed using micro-CT scanning. Then, an electromagnetic simulation model is established based on this model, and an initial complex dielectric constant is assigned to the fiber for simulation to obtain the simulated S11 parameter. Finally, by iteratively adjusting the complex dielectric constant of the fiber, the root mean square error between the simulated S11 curve and the measured reflection loss curve is minimized, thereby retrieving the actual complex dielectric constant of the fiber. This invention avoids theoretical model errors, directly correlates the macroscopic properties and microscopic parameters of materials, and has the advantages of high accuracy and wide applicability, providing a reliable parameter acquisition method for the design and optimization of the electromagnetic properties of composite materials.

The invention relates to the technical field of spacecrafts, in particular to a spacecraft defense material and a preparation method thereof, and designs a structure capable of effectively absorbing and dispersing impact energy on microscopic and macroscopic scales by utilizing computer simulation and an advanced material modeling technology. A base material with high strength, high toughness, light weight and corrosion resistance is selected, nanofibers, nanoparticles or nanosheet layers are embedded into the base material by utilizing a nanotechnology so as to enhance the mechanical property and the impact resistance of the base material, and the shape, the structure and the performance of the material are accurately controlled by adopting an advanced manufacturing technology. The prepared materials are stacked, bonded or mechanically connected together to form a final defense structure, and the structure is strictly tested. By combining a nanotechnology, composite material engineering and an additive manufacturing defense material, the deep requirement of a space exploration task is met, and the safety of astronauts and the smooth completion of the task are ensured.

A system for determining the flow properties of a fluid in a fluid unit, comprising: a light source configured to generate a plurality of optical signals; marker elements suspended in a fluid; a plurality of photonic units, each comprising a photonic element and a flow channel; and a measuring unit configured to: determine a first measurement based on the plurality of optical signals and the marker elements in a flow channel of a first photonic unit of the plurality of photonic units, determine a second measurement based on the plurality of optical signals and the marker elements in a flow channel of a second photonic unit of the plurality of photonic units, wherein the flow channel of the first photonic unit and the flow channel of the second photonic unit are fluidically connected.and a property relating to a flow of the fluid or the marker elements is determined based on the first and second measured values, wherein the determination of the property further comprises determining a macroscopic flow velocity (U) of a fluid containing the marker elements, wherein the macroscopic flow velocity (U) is determined as a function of a flow rate (Q) of the fluid through a cross-sectional area (A) of the fluid unit, wherein Q depends on an applied pressure gradient (VP) such that U = Q / A, wherein the determination of the property further comprises determining a permeability (κ) of a channel of the fluid unit as a function of a viscosity of the fluid (µ), the macroscopic flow velocity (U) and a pressure gradient VP such that κ = µU / (-∇P).

This invention relates to a thin-film device for optical anti-counterfeiting, belonging to the field of anti-counterfeiting thin-film device design. The device includes a substrate layer; a plurality of micro-cylindrical reflective units, each cylindrical with its bottom surface adhered to the substrate layer; a ring-shaped textured area, also ring-shaped, disposed on the surface of the substrate layer and adhered to the side of the micro-cylindrical reflective units, the ring-shaped textured area being filled with a distorted texture corresponding to the source image to be displayed; and a reflective functional layer disposed on the side of the micro-cylindrical reflective units and in the area of ​​the non-ring-shaped textured area on the surface of the substrate layer, to achieve a specular reflection effect. The thin-film device constructed by this invention miniaturizes the macroscopic "cylindrical specular reflection imaging" system, achieving highly concealed information hiding and display on the thin-film device itself—"without the need for an external cylindrical mirror, the thin-film device itself is both a mirror and an image source"—within which information can be hidden and displayed with high concealment.

This invention relates to the field of image recognition technology, specifically to a method for evaluating aggregate skeleton structures based on image processing. The method includes acquiring cross-sectional images of aggregates using an industrial camera; generating standard cross-sectional images using 9-neighborhood convolution and quintic nonlinear mapping; constructing a dual-path semantic segmentation network, including global semantics and local detail paths, to generate binary images; executing connected component labeling and boundary tracking algorithms to calculate the average number of contact points; generating skeleton ratio through pixel integration; and constructing an index-road performance correlation model using uniformity statistically generated by polar coordinate region division to screen aggregate skeleton structures that meet performance requirements. This invention effectively solves the problems of edge artifacts and subjective interference, realizing the scientific transformation of aggregate microstructure to macroscopic mechanical properties, and enabling objective evaluation of pavement material stability.

This application relates to the field of image recognition technology, specifically to a visually assisted method and system for quality inspection of laser engraving on mobile phone buttons, solving the technical problem that the accuracy of laser engraving quality inspection of mobile phone buttons in the prior art cannot meet the requirements. The method includes: acquiring image sequences of the laser engraved area of ​​the mobile phone button under multiple different lighting directions, and design trajectory information; determining the microscopic gradient vector field and texture contrast value of the laser engraved area based on the image sequences; constructing a light transmission resistance field based on the geometric deviation between the macroscopic light transmission direction and the microscopic gradient vector field, characterized by the design trajectory information, and the texture contrast value; calculating the light transmission attenuation index, which characterizes the overall light transmittance performance of the laser engraved area to be inspected, based on the light transmission attenuation field; and determining the light transmittance quality of the laser engraved area to be inspected based on the light transmission attenuation index.

This application provides an in-situ micropillar compression experiment alignment method, relating to the field of micro / nano mechanical testing instrument technology. The method includes: acquiring a sample; providing a mechanically self-locking alignment device, placing the sample and an in-situ indenter on the mechanically self-locking alignment device to perform macroscopic positioning of the sample, and transferring the sample to the in-situ indenter; removing the in-situ indenter from the mechanically self-locking alignment device and placing it under an electron microscope; controlling a probe to sequentially contact two marks, acquiring coordinate data of the two marks respectively; obtaining the positional deviation of the micropillar relative to the marks in the probe's motion coordinate system based on the coordinate data; controlling the probe to move directly above one of the marks based on the coordinate data; and controlling the probe to move from directly above the mark to directly above the micropillar based on the positional deviation. This application can solve the significant shortcomings of existing sample mounting and alignment technologies in terms of positioning accuracy, operational safety, and engineering reliability.

The present application belongs to the field of automatic welding technology, and specifically relates to a grid piece intelligent welding system and method based on visual positioning, which comprises a six-axis robot, a welding gun, a laser tracker, a line-scan camera and a control system. The welding gun is installed at the end of the robot, the laser tracker is connected to the welding gun through a mounting bracket, and the line-scan camera is connected to the robot body through a mounting bracket. The line-scan camera is used for global scanning and coarse positioning of the grid piece, obtaining overall point cloud data of the workpiece, and identifying assembly deformation and macroscopic weld direction; the laser tracker is used for local high-precision scanning and fine positioning of the weld. The control system fuses two levels of visual information, automatically plans a smooth welding trajectory without collision, corrects the path deviation caused by assembly error or thermal deformation in real time, and automatically matches the welding process parameters. The present application significantly improves the welding precision, consistency and production efficiency, and is suitable for flexible production of multiple varieties and small batches of grid pieces.

The application provides a kind of 3D model multi-scale light-weight method and system based on topology optimization, it is related to model light-weight technical field, including grid division to target 3D model, generate finite element model;Establish multi-scale topology optimization model, adjust density distribution through density filtering function, combined with minimum size constraint and gray gradual projection processing, obtain macro light-weight structure;Based on macro light-weight structure, obtain skeleton structure, based on adaptive polygon segmentation rule, construct porous filling unit, fuse multi-parameter model, establish the parameterized representation method of three variables of density, size and shape, obtain intermediate scale structure through multi-objective genetic algorithm, combined with sensitivity analysis technology;The intermediate scale structure is embedded in macro light-weight structure, combined with cascade optimization, generate multi-scale structure, calculate equivalent material properties using homogenization method, iteratively adjust model parameters, finally obtain multi-scale light-weight result.

The present disclosure provides a system and method for automated monitoring, quantification, and control of plant health from micro and macro scales using optical sensing and imaging modalities, environmental sensing, data analysis, image processing, and machine learning. Intelligent feedback control of plant health employed in the system reacts in real-time to changes in plant health to enable precision agriculture applications like intelligent irrigation or determination of optimal fertigation parameters. In turn, the system results in improved agricultural outcomes such as increased fruit production or unique flavor profiles. The system further provides a means for automated and non-invasive testing of novel treatments for disease or adverse conditions, or to improve crop yields.

The application discloses a kind of short-acting rain prediction methods of fusing satellite cloud picture and radar echo, it is related to short-acting rain weather prediction field, the specific steps of this method are as follows: synchronous acquisition preprocessed satellite cloud picture and radar echo data, respectively with symmetric time series deep learning architecture extraction feature, generate dimension alignment's rainfall probability discrete distribution;Unified distribution is obtained by double mode confrontation fusion;Probability confidence calibration is carried out, and the distribution of confidence interval is generated;According to magnitude interval mapping, the output different magnitude rainfall probability and confidence interval are calculated, and the grid point prediction is completed;The application adopts symmetric time series deep learning architecture to process multi-modal data, realizes macroscopic and microscopic collaborative representation, improves the completeness and consistency of rainfall probability generation;Combined with historical sample calibration deviation, the original logic and features are retained, and the standardized grid point prediction results are output;Optimize each link in whole process, so that the prediction result is more in line with the actual, and the business adaptability and application value are improved.

The present application provides a projection type light curing 3D printing system, which sets up a light source array and a collimating lens group to construct multiple groups of deflection angle different quasi parallel light as the incident light of a DMD chip, can simultaneously construct macro resolution and sub-resolution structure, ensures to have higher printing precision while having larger printing area, effectively improves the efficiency of high resolution structure manufacturing; can also adjust the sub-resolution structure size under the condition that other conditions are certain, improves the printing precision under the same printing area. Meanwhile, the printing system of the present application enables the lower precision optical machine to have high precision printing effect to a certain extent, effectively reduces the equipment cost. In addition, the printing system of the present application can adapt to the printing of various materials, including light curing resin, photosensitive resin or light curing hydrogel, etc., has a relatively broad application prospect.

This invention relates to the field of geotechnical engineering mechanics testing and non-destructive testing technology. Existing technologies suffer from high computational delays due to passive monitoring modes, the inability to perform real-time physical intervention before macroscopic brittle fracture of soil and rock masses, and the inability to effectively preserve the critical failure state of rocks for microscopic damage constitutive relationship studies. This invention discloses a system and method for analyzing acoustic emission signals from freeze-thaw damage in soil and rock masses. A signal acquisition module is used to capture acoustic emission signals in real time; a feature analysis module is used to extract frequency band energy distribution characteristics and the instantaneous rate of change of the dominant frequency drift; a state determination module is used to determine the microcrack damage evolution stage and the precursors to critical failure based on the above features; and a linkage intervention module is used to generate physical intervention commands based on the determination results, enabling real-time adaptive adjustment or state latching of mechanical loads and ambient temperature. This allows for microsecond-level closed-loop linkage intervention, suppressing sudden shear surface slippage and instability, and effectively preserving the microstructure of rocks on the eve of critical failure.

The present application relates to the technical field of early cancer risk assessment of digestive tract, and particularly relates to a confocal endoscope early cancer risk assessment method of digestive tract based on artificial intelligence. The method acquires macroscopic images and microscopic images of the digestive tract and a reference position of the confocal probe in the macroscopic images in real time; according to the differences in gray scale and reference position distribution between the macroscopic images at the current moment and the previous adjacent moment and the differences in shape and position distribution of the cell regions in the microscopic images at the current moment and the previous adjacent moment, a comprehensive relative displacement vector of the confocal probe at the current moment is acquired; based on the reference position at the previous adjacent moment of the current moment and the comprehensive relative displacement vector, a corrected reference position of the confocal probe in the macroscopic images at the current moment is acquired. The present application acquires the corrected reference position of the confocal probe in the macroscopic images in real time, and effectively improves the accuracy of the early cancer lesion site positioning of the digestive tract.

This application provides a method, apparatus, device, storage medium, and program product for testing electrode tortuosity, relating to the field of lithium-ion batteries. The method includes: acquiring an electrode to be tested; processing the surface and cross-section of the electrode using a differentiated sample preparation process to form a conductive layer; imaging the surface and cross-section of the processed electrode using a scanning electron microscope to obtain a two-dimensional microscopic image; and performing feature parameter analysis on the two-dimensional microscopic image based on a differential effective medium to obtain the tortuosity of the electrode. This method overcomes the limitation of traditional electrochemical impedance spectroscopy, which only provides macroscopic average values, and solves the problem of difficulty in characterizing the heterogeneity of local tortuosity in complex structures such as thick electrodes and nanoparticle systems. It also avoids the high cost and long cycle of three-dimensional imaging methods, significantly improving the scientific nature of electrode design and the targeted optimization of battery performance.

This invention discloses a milling mechanism for processing packer housings, specifically relating to the field of housing milling technology. It includes a processing table and a milling frame. A stabilizing component is mounted on the top of the processing table, and this component maintains contact with the outside of the workpiece at an angle. The stabilizing component includes several centering blocks movably connected to the top of the processing table. Each centering block has multiple moving blocks connected to one side, and several abutting blocks are movably connected to one side of each moving block. Through the arrangement of the moving blocks, centering blocks, and abutting blocks, the invention provides a macroscopic positioning reference surface for the clamping structure via the centering blocks. The inclined moving blocks form a microscopic discrete contact array, and each abutting block possesses a small degree of freedom of oscillation around its own fulcrum. When the centering blocks and moving blocks approach the curved surface of the workpiece, each abutting block can independently and adaptively deflect according to the local curvature difference of the workpiece surface.

This application relates to the field of radar signal processing technology, and in particular to a radar interference identification method based on multi-domain feature association and fingerprint tracing. The method includes: digitally channelizing the received radar signal using a polyphase filter bank, decomposing it into multiple narrowband sub-channels, and selecting effective sub-channels; extracting macroscopic features from the outputs of the effective sub-channels to construct high-dimensional feature vectors; inputting the high-dimensional feature vectors into a pre-trained random forest classification model for initial interference pattern judgment to obtain preliminary judgment results; if the preliminary judgment result is deceptive interference and the signal-to-noise ratio of the effective sub-channels is higher than a preset fingerprint extraction threshold, then extracting microscopic features from the outputs of the effective sub-channels to construct microscopic fingerprint vectors; performing fine analysis of the pulse leading edge fingerprint based on the microscopic fingerprint vectors to obtain secondary fingerprint analysis results; and combining the preliminary judgment results and the secondary fingerprint analysis results to obtain the final identification result used to characterize the interference pattern and the identity of the interference source.

This invention discloses a macroscopic negative-energy vacuum space manufacturing device and method, belonging to the field of vacuum and physics experimental equipment. The invention employs a double-layered, high-strength cavity that is initially completely fitted together to squeeze out all gas molecules. This is then simultaneously stretched and expanded by external, uniformly force-bearing claws, forming a negative-energy vacuum environment with spatial tension and no gas residue. The device includes an inner fitted cavity, force-bearing claws, a support frame, and a synchronous stretching mechanism. This invention can realize large-scale, ultra-high-purity vacuum spaces without the need for evacuation, exhibiting high stability. It can provide an ideal experimental environment for cutting-edge fundamental physics research, with a simple structure, strong scalability, and significant scientific and social value.

This invention discloses a porous media clogging type identification system based on flow field evolution analysis, belonging to the field of intelligent monitoring technology. The system includes constructing physical models of porous media with different structural types and porosity parameters; acquiring velocity distribution data of the mainstream flow direction within the porous media; identifying the degree of flow field disturbance, the location of fluid channel blockage, and particle retention behavior within the porous media; and determining the type of blockage formed by fine particles within the porous media based on the identification results. This invention overcomes the technical bottleneck of existing technologies that rely on macroscopic parameter detection and cannot capture microscopic processes or distinguish different blockage mechanisms. It achieves in-depth analysis of multi-dimensional flow field evolution characteristics, such as changes in the number of fluid channels, geometric morphology evolution, blockage location migration, and velocity enhancement region distribution; and can comprehensively reflect the lateral diffusion degree of particles, mainstream flow direction migration resistance, and the dynamic damage and recovery process of permeability.

This invention discloses a design and manufacturing method for a uniform cross-section explosive load simulator based on gradient elastic metamaterials, relating to the field of impact loading. Addressing the problems of high cost per use and the susceptibility of variable cross-section elastic rods to local buckling instability under high-speed impact leading to waveform distortion in existing simulators, this invention, while maintaining the macroscopic uniform cross-section shape of the simulator, derives the ideal wave impedance gradient required to achieve the target explosive load based on the one-dimensional elastic wave propagation inverse design theory; establishes the mapping relationship between the relative density of a three-period minimal surface (TPMS) metamaterial unit cell and its equivalent mechanical parameters, and inversely solves the spatial relative density distribution function; extracts the waveform through dynamic impact finite element simulation, and introduces an impedance gradient correction factor to perform nonlinear iterative correction of the density function, obtaining a final three-dimensional metamaterial geometric model that accurately matches the waveform, and uses a flexible polymer material for additive manufacturing. This invention achieves the purely elastic, non-destructive, and reusable simulator, perfectly adapting to the stable firing of light gas cannons, and exhibiting excellent anti-instability capability and waveform fidelity under strong dynamic loads.

This invention provides a robotic arm control method for live-line work in power distribution networks, belonging to the field of robotic arm control technology for power distribution network operations. To address the technical problem that existing robots struggle to balance compliance, reliability, and efficiency in power distribution network operations, failing to meet on-site operational requirements, this invention installs a three-dimensional line laser contour sensor at the end of the first robotic arm of a dual-robotic arm system, and a six-dimensional force / torque sensor and a working tool at the end of the second robotic arm. The sensors construct an operational coordinate system and generate a pre-operation guidance trajectory. During operation, the system scans the conductor in real time to obtain the dynamic center point coordinates and offset, and outputs composite commands through a hybrid control model to achieve macroscopic position tracking and high-frequency micro-motion compensation. After contact, the system switches to impedance control, using force feedback to ensure the tool maintains constant force against the conductor. This invention achieves high-precision dynamic tracking, compliant contact, and human-robot collaborative operation, significantly improving the reliability, safety, and efficiency of live-line work.

This invention discloses a method, system, and storage medium for identifying the surface wind pressure aerodynamic derivative that quantifies the contribution of aerodynamic instability to geometric shapes. The method includes: simultaneously acquiring the surface wind pressure time history and vibration displacement time history of the structural cross-section; processing the displacement signal to obtain the vibration frequency, amplitude, and phase difference; processing the wind pressure signal to obtain the wind pressure coefficient amplitude and phase difference at each measuring point; based on the theory of self-excited aerodynamics, establishing an explicit analytical formula through harmonic coefficient matching, and calculating the surface wind pressure aerodynamic derivative at each measuring point; analyzing the aerodynamic derivative at each measuring point, evaluating the contribution of each surface region to the overall aerodynamic derivative, and identifying key aerodynamic regions that excite or suppress self-excited vibrations. This invention degrades traditional macroscopic aerodynamic derivatives to spatial micro-elements, establishing a spatial mapping analytical closed chain between local wind pressure and aerodynamic derivatives, realizing spatial visualization and quantitative traceability of aerodynamic stability contributions, and providing a direct basis for targeted optimization of wind resistance for complex cross-sectional structures.

The application belongs to the technical field of image processing, and particularly relates to a UV ink curing degree detection method and system based on texture analysis, which comprises the following steps: collecting an original gray-scale image of a UV ink surface, constructing a local illumination saturation index positioning mirror reflection dominant area, and combining a texture optical masking coefficient to obtain an adaptive texture recovery gain; performing weighted processing on the gray-scale value and high-frequency component of the original gray-scale image by using the local illumination saturation index and the adaptive texture recovery gain respectively, extracting macroscopic statistics and microscopic structure features of a reconstructed image to construct a multi-dimensional texture feature vector; inputting the multi-dimensional texture feature vector into a support vector machine classifier to obtain a curing state, and generating a control signal according to the curing state. The application improves the extraction effect of weak texture features under strong light interference, and provides technical support for closed-loop control of the curing process.

This invention discloses a Marchenko multiple suppression method for tracking wave impedance interfaces, belonging to the field of seismic data processing technology. The method includes the following steps: S1, obtaining wave impedance inversion results across the entire depth domain based on surface observation seismic data and the background velocity field; S2, extracting the location information of strong wave impedance interfaces and identifying several key locations between these interfaces; S3, using a Bezier curve smoothing method to obtain the spatial location of the focal point that maximizes the penetration of the strong wave impedance interface; S4, determining the ascending and descending Green's functions for the spatial location of the focal point; S5, predicting interlayer multiples using seismic interferometry; and S6, obtaining the seismic shot gather for suppressing interlayer multiples through adaptive matched filtering. This invention does not require a precise velocity model, relying only on a macroscopic velocity model, and can obtain deep-domain strong wave impedance geological information, accurately predicting and suppressing interlayer multiples by combining wave impedance information.

This invention belongs to the technical field of material physical property analysis, and relates to a method and system for predicting the crack propagation trend of heat sinks using fractal geometry. The method includes the following steps: generating a two-dimensional original matrix of the infrared temperature field; inverting the stress source deformation kernel matrix using a preset empirical Green's space derivative function to generate a six-component moment tensor; generating a principal stress azimuth vector; generating an anisotropic rectangular metric grid; generating a multifractal singular extremum clustering image of the thermal field; generating the steepest fractal gradient vector; and coupling the normalized principal stress azimuth vector and the steepest fractal gradient vector into a preset multi-field parameter feature weighted superposition model to output the current crack propagation amount and crack propagation direction vector. This invention solves the problem that existing nondestructive testing technologies suffer from uncertainty in predicting crack propagation paths and rates due to the failure to effectively integrate microscopic mechanical stress field and macroscopic heat dissipation field information.

This invention relates to a method, apparatus, and electronic device for extracting information from a building quality inspection report. The method includes: constructing a structured system for the information to be extracted, the structured system comprising macroscopic building information as entity identifiers and fine-grained technical parameter information belonging to each building entity; parsing and processing the input building quality inspection report to obtain a set of multiple information-carrying processing units; extracting macroscopic building information representing all building objects to be analyzed within the report from the processing unit set based on a preset first retrieval strategy; generating an extraction context corresponding to each building object based on the extracted macroscopic building information; and, based on the extraction context and according to a second retrieval strategy, selectively retrieving and extracting fine-grained technical parameter information belonging to the corresponding building object from the processing unit set. This invention effectively solves the information confusion problem in multi-entity nested reports and achieves accurate extraction of structured data.