908 results about "Modeling software" patented technology

The invention discloses a fracture structure multi-scale modeling method based on multi-source data fusion, and belongs to the field of geological modeling, and the method comprises the following steps: S1, collecting and preprocessing multi-source data; s13, aligning the data, and integrating the data from different sources together; s2, three-dimensional geologic modeling: S21, generating an initial three-dimensional grid by using geologic modeling software to obtain an initial three-dimensional geologic body model; s22, dynamically adjusting the density of the initial three-dimensional grid by using a self-adaptive grid division technology; s23, using a machine learning algorithm to identify and classify faults; s3, expanding the three-dimensional geologic body model macroscopically and microcosmically; and S4, performing dynamic simulation and prediction by using the three-dimensional geologic body model. By adopting the fracture structure multi-scale modeling method based on multi-source data fusion, the accuracy and reliability of the fracture structure model are improved by integrating multiple data sources and multi-scale analysis.

The invention provides a virtual-real fusion method for digital twinning operation of a cell drug factory in combination with the Internet of Things, which comprises the following steps: constructing geometric models of a culture medium storage tank and a bioreactor through three-dimensional modeling software, mapping and associating historical process parameters of a culture medium supply system and temperature, pH value and dissolved oxygen concentration monitored in real time with the geometric models, and obtaining a virtual-real fusion model of the culture medium storage tank and the bioreactor; constructing a digital twinborn model of the reactor; analyzing historical production data through a machine learning algorithm, extracting a quantitative relationship among key parameters of a cell metabolism rate, a glucose concentration in a culture medium, a pH value and a reactor temperature, establishing a cell growth prediction model, and predicting a growth trend and a metabolism demand of cells in a target time period; a virtual-real mapping mechanism of a culture medium supply system is integrated with an intelligent manufacturing execution system, so that the culture medium supply process and the whole pharmaceutical production process are subjected to collaborative optimization control, and the working procedures of the culture medium production process are automatically dispatched according to a production plan and cell growth requirements.

The invention discloses a quantitative relation chart construction method based on fault characteristics and stress disturbance in the technical field of oil-gas exploration and development. The method comprises the following steps: constructing a geological structure model; the geologic structure model is converted into a mechanical model, and stratum three-dimensional heterogeneous geomechanical attribute modeling is completed through single-point test analysis, single-well logging interpretation and plane distribution simulation; importing the established three-dimensional heterogeneous rock mechanical parameter model by using modeling software, endowing rock mechanical parameters, and performing grid division on the imported model to generate a grid mathematical model; taking a three-dimensional heterogeneous rock mechanical parameter model as a parameter model for crustal stress prediction, and setting a boundary load loading mode; through finite element calculation, the current crustal stress distribution characteristics of the research area are obtained. According to the scheme, through the technical means of single-point test analysis, single-well logging interpretation, plane distribution simulation and the like, the mechanical properties of the rock under different conditions can be described more accurately.

The systems and methods disclosed herein enable the dynamic selection of one or more AI models to generate an output in response to an input. The system receives, from a computing device, an output generation request including an input for the generation of an output using one or more models from a plurality of models. The system generates expected values for a set of output attributes of the output generation request. For each particular model in the plurality of models, the system determines the capabilities of the particular model, and dynamically select a subset of models from the plurality of models. The system dynamically selects a subset of available system resources to process the input included in the output generation request. The system generates the output by processing the input included in the output generation request using the selected subset of available system resources.

The invention discloses a building characteristic line extraction method based on an unmanned aerial vehicle inclined three-dimensional model, and relates to the technical field of building characteristic analysis, and the method comprises the following steps: employing an unmanned aerial vehicle equipped with an inclined photography system to shoot a building from a plurality of angles, and obtaining the data of a plurality of photos of the building; and preprocessing the acquired photo data, and importing the photo data into three-dimensional modeling software to construct an inclined three-dimensional model of the building. The building is shot from different angles, the multi-view image data of the building can be obtained, the inclined three-dimensional model of the building can be constructed by combining the three-dimensional modeling technology, on the basis, the feature lines of the building can be extracted by utilizing the feature line extraction algorithm, and compared with traditional manual measurement or two-dimensional image extraction, the method has the advantages that the construction efficiency is improved, and the construction cost is reduced. The precision of feature extraction is greatly improved, the working efficiency is remarkably improved, more details of the building can be captured, and feature line extraction is more accurate.

The invention discloses a full-automatic three-dimensional live-action modeling method based on an unmanned aerial vehicle oblique photography technology, and particularly relates to the technical field of unmanned aerial vehicle photography, and the method comprises the following steps: firstly, dividing a modeling region into a plurality of unmanned aerial vehicle oblique photography regions, and presetting an initial flight route and a parameter combination; an initial image is collected according to a preset route, terrain and shelter analysis is carried out, and a region complexity level is output through fuzzy reasoning; determining whether the initial image is adopted or not according to the classification, and if not, re-collecting the image based on an optimization strategy; and finally, gathering and summarizing the adopted images, and inputting the collected images into three-dimensional modeling software to generate an accurate three-dimensional model. According to the method, the flight strategy of the unmanned aerial vehicle is dynamically optimized, and especially in complex terrains and shelter dense areas, the coverage degree and quality of image acquisition are ensured, so that the detail retention degree of a three-dimensional model is remarkably improved, resources of the unmanned aerial vehicle are more effectively utilized, unnecessary flight and data redundancy are reduced, and the modeling efficiency is improved.

The invention relates to the technical field of material simulation models, and particularly discloses a finite element analysis and thermal expansion mismatch effect-based comprehensive simulation model construction method, which comprises the following steps of performing geometric model construction on a target material; constructing a geometric model: adopting modeling software to create the geometric model of the target material, and obtaining a thermal mismatch target area interface; parameter data of a target material are obtained for assignment, and then a target material grid is preprocessed; performing boundary condition constraint on the geometric model of the target material, and applying a temperature load; establishing a thermal stress corresponding mechanism for the geometric model of the target material, calculating to obtain thermal stress values of the unit grids, and converting the thermal stress value on each unit grid into a cloud picture in a color manner based on the thermal stress values of the unit grids to obtain a thermal expansion mismatch effect comprehensive simulation model; the quantitative analysis capability of the thermal stress difference of multiple materials is realized; potential stress concentration areas caused by thermal expansion mismatch can be identified.

The invention discloses an industrial marketing management method, system and equipment based on digital twinning and a medium, belongs to the technical field of big data processing and analysis, and aims to solve the technical problem of how to collect and process various data in a cigarette marketing management process in real time, find market changes in time, improve marketing efficiency and flexibility and improve marketing efficiency and flexibility. According to the technical scheme, the method comprises the following steps: data acquisition and data cleaning: collecting full-life-cycle data of an industrial product; wherein the full life cycle data of the industrial product comprises information of each stage of design, production, test and sales; performing data modeling: performing accurate three-dimensional modeling on the industrial product by utilizing three-dimensional modeling software, constructing a virtual model of the product based on a physical law and engineering knowledge, and simulating the running state and performance of the product under various working conditions through a simulation technology; virtualizing a production scene; building a virtual product model; and simulating a virtual marketing scene.

The invention provides a rapid karst cave modeling method and system based on multi-source data, and the method comprises the steps: collecting multi-source data including geological exploration data, remote sensing data and unmanned aerial vehicle aerial photography data, and carrying out the preprocessing of the multi-source data; fusing the preprocessed data by adopting a weighted fusion or principal component analysis method; extracting shape features, size features and position features from the fused data; the extracted karst cave features are converted into point cloud data or grid data, and a karst cave model is constructed through three-dimensional modeling software; performing vertex editing and patch adjustment on the initial model, and correcting the model form in combination with expert experience; and comparing the constructed karst cave model with actual geological data, and if an error exceeds a preset threshold value, iteratively adjusting model parameters until a precision requirement is met. According to the method, efficient extraction, accurate modeling and dynamic optimization of the karst cave geological information can be realized.

The invention provides a multi-view image reconstruction method and device based on three-dimensional Gaussian sputtering characterization, and the method comprises the steps: collecting and obtaining a multi-view image of a to-be-reconstructed target object, the multi-view image being a shot image of the target object at multiple views, and each image having corresponding pose information; according to the multi-view image and the pose information, through single-view rendering, Loss calculation, gradient return and model densification, training a three-dimensional Gaussian sputtering model to obtain a final Gaussian primitive; and labeling each part of the final Gaussian primitive, reconstructing the final Gaussian primitive into a grid body model by adopting a rendering mode corresponding to the labeling, and generating a rendering depth image and an RGB image. According to the method, the better grid model can be obtained by collecting the multi-view depth rendering result, the model is further adjusted through the three-dimensional modeling software subsequently, the industrial three-dimensional reconstruction process can be fused more conveniently, the reconstruction operation period is shortened, and the reconstruction quality is improved.

The invention discloses an energy balance flexible guide mechanism hinge rigidity design method based on machine learning, and relates to the technical field of energy balance design. Constructing a mechanism parameter library by taking the hinge thickness as a structural parameter; converting the three-dimensional modeling software design scheme into a three-dimensional model library; performing three-dimensional grid division and finite element analysis to establish a grid library; constructing a three-dimensional simulation result database through finite element simulation results; establishing a mapping relation between the structure parameters and the performance characteristics by utilizing a machine learning method, and taking the mapping relation as a parameter library of machine learning; optimizing the design scheme through a machine learning method; and flexible guide mechanism scheme libraries under different index systems are constructed, and the flexible guide mechanism hinge meeting the requirements is obtained. An optimal flexible guide mechanism hinge design scheme is predicted through a machine learning method, mechanical properties of a hinge three-dimensional model are simulated in combination with finite element analysis, experiment and calculation requirements are reduced, and design efficiency and economic benefits are improved.

The invention discloses a steel reinforced concrete member full-period management method based on industrial big data. The method comprises the steps that a member model is established through BIM modeling software, an easily-buckling area is screened in combination with finite element buckling analysis, a buckling monitoring point is arranged on the surface of an analysis plate body, and a plate body monitoring point is arranged on the splicing edge; extracting model coordinate data to generate processing parameters, and guiding plate cutting and monitoring point position marking; actual coordinates of all monitoring point positions in the profile steel component are obtained through laser scanning and compared with model coordinates, and reworking is triggered if errors exceed the limit; constructing a neural network model, inputting various parameters related to analysis of plate body buckling to obtain a predicted buckling monitoring point out-of-plane displacement value, and judging compliance; according to the method, the problems of low efficiency, error accumulation and lack of full-period closed-loop management of a traditional method are solved, the machining precision and the structural safety of the steel reinforced concrete member are remarkably improved, and the hardware cost and the detection time consumption are reduced.

The invention discloses a method for measuring corrosive wear of a gas-liquid-solid three-phase flow pipeline in the presence of an oxide layer. The method comprises the steps that modeling software is used for conducting modeling and grid division on a pipeline; secondly, loading a coupling interface for continuous phase and discrete phase calculation, selecting a corresponding multiphase flow model, a turbulence model and a particle motion model to obtain particle and continuous phase motion information in a computational domain, and inputting corresponding parameters such as turbulence dissipation rate and the like; and loading the corrosive wear model in the simulation process to obtain the corrosive wear rate of the gas-liquid-solid three-phase flow pipeline so as to quantitatively characterize the corrosive wear degree of the gas-liquid-solid three-phase flow pipeline. According to the method, high-risk area prediction of pipeline corrosion and wear can be realized, and the method for predicting corrosion and wear of the gas-liquid-solid three-phase flow pipeline under the condition that the oxide layer exists is constructed, so that the method is of great significance in pipeline corrosion and wear protection, oil and gas field safety production guarantee and economic loss reduction.

The invention provides a fault diagnosis method and system for a spindle box of a high-speed gear milling machine based on fault mechanism simulation and data fusion. The method mainly comprises the following steps: S1, calculating a tooth profile wear curve of a gear based on an Archard wear principle; s2, three-dimensional modeling software is used for building system models in different wear states, and simulation data sets under different wear degrees are obtained with the help of dynamics simulation software; s3, establishing a data acquisition system to obtain an experimental vibration data set under the actual working condition of the spindle box; s4, constructing a spindle box fault diagnosis model by using the analogue simulation data set obtained in the step S2; and S5, performing fault diagnosis on the experimental vibration data set obtained in the step S3 by using the spindle box fault diagnosis model constructed in the step S4, and identifying the health condition of the spindle box system. Important data support is provided for a main axle box fault diagnosis and health management system, and the diagnosis accuracy and reliability are improved.

The invention provides a heat exchanger design method based on a mixed TPMS structure, and relates to the technical field of heat exchange, and the method comprises the following steps: 1, combining a sigmoid function to realize smooth transition of two original typical TPMS structure curved surfaces so as to construct a flexible mixed TPMS lattice structure mathematical expression; 2, lattice units are output in three-dimensional modeling software according to the obtained flexible mixed TPMS lattice structure mathematical expression; thirdly, periodic arrays of the target lattice units in a space coordinate system are achieved according to the structural requirements of a heat exchanger shell, independence of a hot flow basin and a cold flow basin is achieved by sealing opposite fluid areas at a hot fluid inlet and a cold fluid outlet respectively, and finally a flexible mixed heat exchange core structure is obtained and filled into the heat exchange shell to obtain the heat exchanger; and 4, flow and heat transfer characteristic analysis is carried out on the TPMS heat exchanger with different flexible mixing so as to obtain the optimal design. And by adopting the flexible TPMS structural design, the heat exchange area can be increased under the condition that the size is kept unchanged, so that the heat exchange performance is improved.

The invention relates to the technical field of sheet metal part bending detection, in particular to a method and system for judging sheet metal part bending accuracy based on a three-dimensional model, and the method comprises the steps: determining an error compensation parameter through historical data of a target production line, and calculating a bending simulation adjustment parameter through combining a sheet metal part design drawing, an expected process and a bending simulation parameter; according to the design drawing, the expected process and the bending simulation adjustment parameters, generating a sheet metal part finished product three-dimensional model by utilizing three-dimensional modeling software, and extracting a target expansion view and a target panoramic reference view of the sheet metal part finished product; respectively carrying out bending accuracy detection on the images to obtain an expanded image deviation result and a panoramic reference image deviation result; if the deviation results are qualified, the bending accuracy is qualified; otherwise, the bending simulation parameters and the design drawing are adjusted, and bending simulation adjustment parameter calculation, three-dimensional modeling and bending accuracy detection are repeated until all deviation results are qualified. Therefore, actual production conditions are met, and the bending precision of the sheet metal part is improved.

The invention discloses a preparation method of a bionic nickel-titanium-magnesium heterostructure as a medical implant, and relates to the technical field of medical implants.The preparation method comprises the following steps that firstly, a bionic nickel-titanium monomer structure model is established based on 3D modeling software, the designed bionic nickel-titanium monomer structure model is arrayed twice in the x-axis direction, the y-axis direction and the z-axis direction, and the bionic nickel-titanium monomer structure model is obtained; secondly, the bionic nickel-titanium structure model designed in the first step is converted into an stl format file, the stl format file is imported into magics software, and nickel-titanium alloy powder is printed into a bionic nickel-titanium structure based on the selective laser melting technology; 3, the bionic nickel-titanium structure is subjected to polishing treatment with a chemical polishing solution and then subjected to ultrasonic treatment under alcohol soaking, powder adhering to the surface is removed, the bionic nickel-titanium structure is combined with molten magnesium through a non-pressure permeation method, and a bionic nickel-titanium-magnesium heterostructure is prepared; and step 4, implanting the bionic nickel titanium-magnesium heterostructure into the bone defect.

The invention discloses a valve processing and manufacturing method based on digital twinning, which comprises the following steps: S1, constructing a valve digital twinning model, creating a valve geometric model by using three-dimensional modeling software, and endowing the valve geometric model with physical attributes and material characteristics through finite element analysis software, carrying out design optimization through fluid mechanics simulation and stress analysis; s2, establishing a processing technology digital twin model, performing digital modeling on the device, integrating processing technology parameters, and simulating a material processing process; s3, the machining process is monitored in real time, multiple types of sensors are deployed on machining equipment, and operation data of the machining equipment are collected in real time; s4, dynamic simulation and comparative analysis are conducted, specifically, the digital twin model dynamically simulates the actual machining process according to real-time collected data, and a simulation result and design requirements are compared and analyzed; and S5, feedback control optimization: when the processing deviation exceeds a preset threshold value, automatically generating a process parameter adjustment scheme and feeding back the process parameter adjustment scheme to a processing equipment control system.

A computer system for building, simulating, and / or validating a predictive model. The computer system programmed to (i) analyze one or more predictive pricing sub-models to detect one or more issues; (ii) execute a GPT model on the one or more predictive pricing sub-models, the GPT model trained to identify differences between predicted pricing and actual pricing for certain predefined events; (iii) compare the one or more issues to one or more outputs of the GPT model; (iv) in response to the comparison, generate a new model software template including one or more code changes to the one or more predictive pricing sub-models based upon the comparison; (v) generate a simulation environment based upon a plurality of data; (vi) execute the new model software template in the simulation environment; and / or (vii) update the new model software template based upon one or more outputs of the execution.

The invention belongs to the field of model matching, and discloses a three-dimensional model matching method and device and electronic equipment, and the method comprises the steps: converting a to-be-matched three-dimensional model into first point cloud data, carrying out the preprocessing of the first point cloud data, setting a registration parameter according to a preprocessing result, extracting a first feature of the first point cloud data, and carrying out the matching of the first feature and the second feature; and registering the first feature with a second feature of the historical three-dimensional model according to the registration parameter to determine a matching result. Three-dimensional model matching is converted into feature matching, and the automation degree and efficiency of the matching process are improved. According to the method, feature extraction is performed on the first point cloud data to obtain the first feature, and then the first feature is registered with the second feature in the preset feature library, so that the similarity between the to-be-matched model and the historical model can be quickly and accurately evaluated. In the whole process, the dependence on professional modeling software is reduced, the consumption of manpower and computing resources is reduced, and meanwhile, the efficiency and accuracy of three-dimensional model matching are improved.

A method for predicting rotating turbulent flows using a BSTMQ turbulence model is provided, which can improve the effectiveness of predicting the internal flow field of fluid machinery. The method includes the steps of performing solid modeling of a rotating turbulent flow prediction target by 3D modeling software to obtain a simulation model, meshing the simulation model, improving the eddy viscosity damping function of an existing STRUCT turbulence model to construct a BSTMQ turbulence model, and performing a numerical simulation calculation of the rotating turbulence using the BSTMQ turbulence model by a calculation program based on OpenFoam to obtain a prediction result of the rotating turbulence of the prediction target. The BSTMQ model can better simulate the rotating turbulent flow, improve the prediction effect of the internal flow field of fluid machinery, and provide a new idea for efficiently and accurately calculating the rotating turbulent flow in fluid machinery.

The invention relates to the field of computers, and provides an optimal design method, device and equipment for a three-dimensional slope inclined anti-slide pile and a medium. The method comprises the following steps: generating a dynamic library file of a soil constitutive model, and importing the dynamic library file into universal interactive modeling software; setting material attributes for the three-dimensional model, defining boundary conditions, and dividing grids; performing static analysis on the three-dimensional model to generate a visual toolkit file; extracting material point information in the visual toolkit file, and packaging the material point information into a material point file; determining pre-prepared material point method three-dimensional data analysis software; reading the material point file and carrying out dynamic analysis; generating an unstructured grid file of the visual toolkit file in the dynamic analysis process; extracting a slope failure state variable from the unstructured grid file of the visual toolkit file; and by taking the slope failure state variable as an optimization target, adjusting the three-dimensional model to obtain an optimal anti-slide pile design scheme.

The invention discloses an aviation fuel gear pump performance prediction method based on lumped parameters. The method comprises the following steps: 1, dividing internal control volumes of the gear pump and analyzing communication relations of the control volumes; 2, establishing a gear pump dynamic mathematical model by combining the internal pressure and flow characteristics of the gear pump and the geometric structure characteristics of the gear pump; step 3, establishing a gear pump 3D model based on UG and measuring related data, storing the data in a 1D table as the input of a gear pump Amesim lumped parameter model, and simulating the change relation of the gear cavity volume and the area of each throttling channel along with the rotation of the gear pump; and 4, establishing a gear pump lumped parameter performance model based on Amesim, inputting data according to oil liquid characteristics and the gear pump 3D model, setting corresponding parameters, performing gear pump multi-working-condition performance simulation, and analyzing and predicting pressure characteristics and flow characteristics of the gear pump under different working conditions. According to the method, a gear pump lumped parameter performance model is built based on Amesim modeling software and UG geometric modeling software, so that the internal flow pressure characteristic and the output pressure flow characteristic of the gear pump are predicted.

The invention discloses a building construction site arrangement optimization method and system and a storage medium. According to the main scheme, the method comprises the steps that topographic data, building layout data and equipment layout data of a building construction site are acquired; drawing a construction site rough arrangement diagram according to the collected building layout data and equipment layout data by using CAD software, and importing the rough arrangement diagram into BIM modeling software to generate a construction site basic model; analyzing the construction site basic model of the BIM technology, and marking a problem area of the basic model; an optimization model is formed by changing the layout of a problem area of the basic model; and analyzing the optimization model to judge whether the optimization model meets the standard or not. According to the technical scheme, intelligent optimization and real-time monitoring of construction site arrangement can be realized, the construction efficiency is improved, the cost is reduced, and the construction safety is enhanced.

The invention relates to the technical field of equipment operation optimization, in particular to an electric power equipment operation optimization method and system based on digital twinning. The method comprises the following steps: acquiring operation data of physical power equipment through a sensor; building a digital twinborn model of the power equipment by utilizing modeling software Simulink based on the operation data; establishing bidirectional data streams from the physical power equipment to the digital twinborn model and from the digital twinborn model to the physical power equipment, and performing data synchronization; performing state estimation on the synchronized digital twin model by using a particle filtering algorithm, and introducing a physical degradation model of equipment aging in the state estimation process; and based on the estimated state, optimizing the operation condition of the equipment through a particle swarm optimization algorithm. According to the design of the invention, the digital twinborn model synchronized with the physical power equipment is constructed, and the particle filter algorithm is utilized to carry out accurate state estimation, so that the operation state of the power equipment can be monitored in real time.

The invention provides a garden landscape design method and system based on digital twinning. The garden landscape design method based on digital twinning comprises the following steps: extracting a geographic position area planar graph of a to-be-designed garden landscape; constructing a digital twinborn model of the landscape architecture through three-dimensional modeling software in combination with a digital twinborn platform; setting an overall structure of the garden landscape according to the geographic position area plan, and obtaining an overall design scheme of the garden landscape; and according to the overall design scheme of the landscape architecture, setting nodes and landmark images of the landscape architecture, and generating a node and landmark image setting scheme. According to the scheme, various factors including terrain, vegetation, water, light, human activities and the like can be comprehensively considered. Through comprehensive analysis and planning based on a digital twinborn model, an outdoor environment meeting various requirements and limitations can be created; according to the scheme, the spatial layout can be optimized, the optimal utilization of the site area is ensured, and functional requirements are met.

The invention relates to the technical field of model design, in particular to an integrated design method and system for a three-dimensional simulation model of a natural gas burning gun. The method comprises the following steps: collecting geometric parameters and operation parameters of a natural gas burning gun to obtain initial equipment parameter information; performing laser micro-texture treatment on the inner surface of a combustion chamber of the natural gas combustion gun to generate periodic micro-groove array data; constructing a three-dimensional initial model of the natural gas burning gun through three-dimensional modeling software based on the initial equipment parameter information and the periodic micro-groove array data; and acquiring natural gas fuel characteristic data, inputting the fuel characteristic data into the three-dimensional initial model for combustion process simulation, and performing multi-dimensional evaluation on the simulated combustion process to generate a combustion process evaluation result. Through three-dimensional modeling, combustion simulation and dynamic optimization adjustment, the problems of low efficiency, large optimization difficulty, lack of real-time feedback and the like in traditional design are solved, and the design precision and combustion performance of the natural gas combustion gun are remarkably improved.

The invention discloses a transformer substation unmanned aerial vehicle autonomous inspection system which comprises an unmanned aerial vehicle platform, a three-dimensional modeling module, an inspection route setting module, an autonomous inspection module, a mobile monitoring platform, an image acquisition module, an image processing module, an alarm module, a visualization module, a data storage module and a wireless communication module. Wherein the three-dimensional modeling module comprises laser radar equipment and three-dimensional modeling software, the routing inspection route setting module is used for setting different routing inspection routes according to different routing inspection modes and corresponding routing inspection rules, the autonomous routing inspection module comprises a navigation system and a positioning base station, and the mobile monitoring platform comprises a remote controller and vehicle-mounted charging equipment. The image processing module is used for processing and analyzing different types of collected images and different purposes of collected images by using different algorithms so as to timely discover abnormity and give an alarm; the method has the advantages of being good in inspection abnormity processing effect, good in positioning effect, convenient to use and good in data processing effect.

The invention relates to the field of virtual reality (VR) and medical image processing, in particular to an acupuncture copper human visual frame selection system combined with 3D digital human body modeling. The main components of the scheme comprise 3D modeling software, a multi-level 3D acupuncture copper human model (including skin, meridians and collaterals, acupuncture points and skeleton layers), a J2000 coordinate system, an interactive interface, an infrared thermal imager, a six-axis force sensor, an AI clustering algorithm, a force steering algorithm, a decision tree algorithm, an ICP algorithm, a v-mode l technology, a BERT model and the like, and the components work cooperatively to construct a high-precision 3D model and calibrate coordinates. A frame selection instruction is received through multi-modal interaction, temperature and force data are collected to generate a dynamic matrix, label arrangement and rule generation are carried out, multi-source data are integrated and exported, real-time binding and intelligent recommendation of acupuncture points and models are achieved, a complete acupuncture point visual frame selection system is formed, and the acupuncture point positioning accuracy and the operation intelligent level are improved.

The invention discloses a digital human 3D face reconstruction method, computer equipment and a readable storage medium, and relates to the technical field of artificial intelligence, and the method comprises the steps: obtaining a plurality of different expression models under an ARKit framework, and creating a basic 3D head model based on 3D modeling software; fitting each expression model by using the basic 3D head model to determine multiple groups of expression parameters and shape parameters, and creating a target 3D head model based on the multiple groups of expression parameters and shape parameters and the basic 3D head model; and performing 3D face reconstruction on the face image based on the target 3D head model. According to the method, the 3D face reconstructed based on the face image can be richer in shape and expression expression and is close to a real person.