487 results about "Modeling software" patented technology

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 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 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 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 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.

The invention discloses a three-dimensional conversion method for a two-dimensional geological profile map, and the method comprises the steps: S100, data obtaining and preprocessing: obtaining an original geological profile map, carrying out the format conversion of the original geological profile map, eliminating overlapped line segments and micro short line segments, and maintaining the topological consistency; s200, conversion parameter calculation is conducted, specifically, drilling coordinates are obtained, and a conversion script is compiled based on the real geodetic coordinates, the two-dimensional profile map coordinates and the azimuth angle; and S300, conversion execution: reading the map subjected to format conversion in the S100 into three-dimensional modeling software, and executing the script language compiled in the S200 to obtain a three-dimensional geological profile map. According to the method, the whole file is converted, the conversion from the two-dimensional geological prospecting line section to the three-dimensional geological section map can be rapidly and integrally completed through the existing software technology and simple script codes so as to be used for three-dimensional geological modeling, a large amount of manpower and material resources can be effectively saved, and the production efficiency can be improved.

The invention belongs to the technical field of coal bed gas mining, and particularly discloses a multi-coal-bed mining optimization control method based on crossheading position stability, and the method comprises the steps: comprehensively obtaining parameters such as coal bed spacing, thickness, inclination angle, roof and floor lithology and fault distribution, and generating an accurate three-dimensional geologic model through three-dimensional modeling software; and the condition of incomplete geological analysis of a traditional method is changed. And on the aspect of crossheading arrangement, empirical operation is replaced with finite element analysis, the anchor rod distance and the support density are accurately determined, and safety and economical efficiency are improved. The mining sequence planning is changed from dependence on a fixed rule to establishment of an identification model combined with a genetic algorithm, and dynamic optimization is realized. The mining height, the mining width and the advancing speed are flexibly regulated and controlled according to the mapping relation table in the mining process, and real-time dynamic adjustment is achieved. Meanwhile, the early warning mechanism calculates scores based on crossheading stress data, is more accurate and sensitive, and has higher pertinence and effectiveness.

The invention relates to an iron tower foundation safety analysis method considering the dry-wet cycle effect. The method comprises the following steps that 1, a soil body strength degradation constitutive model is established; 2, determining iron tower foundation structure parameters and soil body parameters; 3, establishing an iron tower foundation-soil body three-dimensional geometric model by utilizing three-dimensional modeling software and rock-soil finite element simulation software; 4, applying a load transmitted to the iron tower foundation by the power transmission iron tower in the iron tower foundation-soil body three-dimensional geometric model, defining initial parameters, and establishing a rainwater seepage and dry-wet cycle coupling effect analysis model; 5, analyzing and predicting the cycle index when the safety coefficient of the iron tower foundation is reduced to a threshold value from the two aspects of tower foundation ultimate bearing performance and iron tower foundation-soil body interaction on the basis of a rainwater seepage and dry-wet cycle coupling effect analysis model; according to the method, an efficient and accurate numerical analysis means can be provided for safety assessment of the power transmission tower foundation in the collapsible loess area.

The invention provides a cavity thin-wall part printing method and system, a storage medium and equipment, and the method comprises the step of adopting a cavity part regional printing processing method with different forming parameters. A thin-wall cavity part of a part is independently split into an integral part through three-dimensional modeling software, a main body structure part and a thin-wall cavity structure part are split into a plurality of parts, and different filling printing parameters are adopted for machining the parts of different structure parts. By means of the printing method, heat accumulation can be effectively shared, distribution of residual stress is reduced, finally, the size structure precision of the thin-wall part is effectively guaranteed, and the printing success rate of the complex cavity part is increased.

The invention discloses a three-dimensional reconstruction method and device based on an intelligent agent, a storage medium and electronic equipment. Relates to the technical field of artificial intelligence, and comprises the following steps: obtaining three views of a target object to be subjected to three-dimensional reconstruction, and constructing a target cue word according to the three views of the target object, the target cue word being used for indicating a target agent to generate a structure node set for describing the target object based on the target cue word; obtaining a structure node set based on the target cue word through the target agent; and performing three-dimensional reconstruction based on the structure node set through the target intelligent agent to obtain a three-dimensional model corresponding to the target object. Through the method and the device, the problem of relatively low efficiency of three-dimensional reconstruction caused by making a 3D model in 3D modeling software through a manual method based on data such as photos, language description and design drawings of a real scene in related technologies is solved.

The invention discloses a building information model automatic construction method and system and a storage medium. Multi-source data are collected and preprocessed to form input data in a unified format; respectively extracting two-dimensional and three-dimensional features by using a multi-branch architecture of a convolutional neural network, and comprehensively outputting feature information of the building component in a feature fusion layer; and calling a modeling software interface to convert an identification result into corresponding components, and sequentially assembling the corresponding components into a complete building information model. In order to ensure the accuracy of the model, the method introduces a repairing mechanism based on geometric constraint to adjust gaps and overlapping between components, meanwhile, the volume error rate and the position deviation of the model are verified through statistical analysis, if the volume error rate and the position deviation exceed threshold values, error data are fed back to a network to be retrained, and closed-loop optimization of the model construction process is achieved. And the automatic feature extraction capability of deep learning is combined with a BIM software modeling mechanism, so that the modeling efficiency and precision in a complex scene can be remarkably improved.

The invention relates to the technical field of three-dimensional modeling, and discloses a hybrid modeling method, device and equipment, and the method comprises the steps: constructing a three-dimensional model for any part of a target structure in modeling software, the three-dimensional model being a grid model or a curved surface model; fusing the three-dimensional models of all the components under geometric constraints to obtain a first mixed model; flattening the first mixed model in a two-dimensional plane to obtain a two-dimensional coordinate; superposing image textures on the two-dimensional coordinates and performing data compression to obtain texture coordinates; mapping the texture coordinates to a three-dimensional space to obtain a second mixed model; and individually setting the second hybrid model, and exporting a third hybrid model of the target structure through rendering. According to the method, a systematic mixed modeling process is formed by integrating the steps of geometric modeling, seamless fusion, flattening, texture superposition, rendering and the like, the working efficiency is improved, it is ensured that the finally output model has high precision and high visual effect, and meanwhile consumption of storage and computing resources is reduced.

The invention provides a time domain and frequency domain combined impact resistance analysis method and device for a ship stern tube, and the method comprises the steps: building geometric models of all parts in the stern tube through three-dimensional modeling software according to an actual engineering drawing of the stern tube, carrying out virtual assembly on the geometric model of each component according to the actual assembly relation of each component to obtain a geometric model of the tail shaft tube; importing the geometric model of the tail shaft tube into finite element software, endowing each component with material attributes, and carrying out grid division on the geometric model by adopting an overall network size control method; and performing static analysis on the geometric model after grid division to obtain static working stress, performing dynamic analysis on the geometric model after grid division to obtain dynamic impact stress, and synthesizing the static working stress and the dynamic impact stress into total stress. According to the method, time domain and frequency domain combined shock resistance response calculation is carried out for the tail shaft tube as a core component of the ship propulsion system, and the accuracy of shock resistance response calculation is improved.

The invention relates to the field of three-dimensional modeling and artificial intelligence control systems, in particular to a large language model driving type FMT automatic modeling method supporting an MCP protocol. According to the method, a Python interpreter is embedded into FMT modeling software, a core modeling operation function is registered as a Python callable script, a remote instruction format defined by an MCP (Model Control Protocol) protocol is matched, and a user describes a modeling intention through a natural language; then decomposing a natural language input by a user according to intentions by using a large language model, generating a complete FMT modeling program, and automatically manipulating the FMT to complete modeling operation; and finally, a full-chain closed loop of natural language-script instruction-software operation behavior-real-time feedback is realized, a large language model is supported to directly control an actual software modeling process, and the automatic modeling capability is greatly improved.

The invention provides a BIM-based pipeline comprehensive arrangement construction method, and relates to the technical field of building construction.The method comprises the steps that (1) modeling is conducted according to specialties, specifically, a Magicad platform serves as basic modeling software, and BIM models of all specialties are systematically established; (2) pipeline integration: combining the professional BIM models into the same space through a Magicad platform; (3) collision detection: performing collision detection on the first pipeline comprehensive model through a Magicad platform; (4) collision optimization adjustment: optimizing pipeline arrangement of the first pipeline comprehensive model according to a collision detection result; (5) design change and entity verification: verifying the consistency of the second pipeline comprehensive model and the site, and optimizing and adjusting the second pipeline comprehensive model according to a verification result and design drawing change; (6) process simulation: carrying out visual simulation on the construction process of the final installation scheme; (7) material preparation and construction; and (8) quality acceptance. According to the scheme, the construction efficiency can be improved, and labor and material cost is reduced.

The invention relates to the field of single-crystal high-temperature alloy directional solidification casting defect prediction, in particular to a single-crystal blade freckle defect prediction method based on a large-module casting technology, which comprises the following specific steps of: establishing a 1 / 8 model of a large-module casting system by using modeling software; thermophysical parameters of the single-crystal high-temperature alloy are calculated, and the heat exchange coefficient among the casting, the mold shell and the water cooling disc in the numerical simulation process is determined in combination with related literatures; carrying out directional solidification numerical simulation, analyzing the change of the morphology of the pasty area in the solidification process, and counting the inclination angle of the pasty area of each part of the casting; establishing a Rayleigh number prediction formula, and comparing and analyzing a freckle high inclination area of a simulation result and a freckle occurrence position of an experiment result; and improving a Rayleigh number prediction formula by combining the inclination angle of the pasty area and the transverse temperature gradient value to obtain a Rayleigh number prediction result with more accurate prediction. According to the method, the position and tendency of freckles possibly appearing on the casting are predicted in advance by means of numerical simulation, and the freckle defect is avoided.

The invention relates to a DEM-CFD-VOF coupling model-based method for analyzing movement of a desulfurizing agent in a ladle, which belongs to the technical field of computer simulation and comprises the following steps of: 1, drawing a ladle model and a stirring paddle model by utilizing modeling software, and exporting a corresponding STL file; 2, importing the STL file into software with a DEM model, and establishing a motion control equation of desulfurizer particles; and step 3, importing the STL file into software with a CFD model, performing mesh generation on the ladle model containing the stirring paddle by using a mesh generation tool, establishing a control equation of a liquid phase (molten iron) and a gas phase (air), and tracking free interfaces of the gas phase and the liquid phase and the like by adopting a VOF model in the software with the CFD model. According to the method, the DEM-CFD-VOF coupling model is established to describe movement and dispersion behaviors of desulfurizer particles in the ladle, so that evaluation on the desulfurization effect of the ladle is realized.

The invention relates to a multi-system collaborative building energy-saving reconstruction method, which comprises the following steps of: establishing a Revit model for a building by using modeling software, importing building Revit model data into energy consumption analysis software Energylus through data conversion, and carrying out energy consumption simulation analysis on the building Revit model data; then, energy-saving transformation is conducted on the building from the three aspects of a building envelope, a lighting system and heating and cooling, the energy-saving effect of corresponding measures is analyzed by comparing data obtained through simulation before and after transformation, and data support is provided for energy-saving transformation of the building; an electric equivalent resistance-capacitance network model of the building is further established, the indoor temperature of the building is predicted and controlled, and the control effects and energy consumption saving conditions of the model prediction control method and the PID control method are compared; the method has the advantages of being high in energy-saving control precision and good in energy-saving effect in the whole process of modeling, simulation, transformation and control of building energy-saving transformation.

The present invention discloses a method, device and equipment for generating a digital twin simulation model of a photovoltaic power station. The method comprises: obtaining an orthophoto map collected by a drone of a target photovoltaic power station; marking each equipment unit in the orthophoto map and annotating the equipment name and number corresponding to each equipment unit; extracting the three-dimensional geographic information of the terrain of the target photovoltaic power station, the three-dimensional geographic information of the equipment of each equipment unit and the equipment name and number from the orthophoto map; using three-dimensional modeling software to read the three-dimensional geographic information of the terrain, the three-dimensional geographic information of the equipment and the equipment name and number, creating a surface simulation model of the target photovoltaic power station, an equipment simulation model and a hierarchical management relationship between the equipment simulation models, and obtaining a digital twin simulation model of the target photovoltaic power station. The digital twin simulation model in this application is closer to the real scene of the photovoltaic power station, reducing the difficulty of inspection and operation and maintenance of the photovoltaic power station.

The invention discloses an open-pit coal mine thin coal seam mining technology, and relates to the field of open-pit coal mine mining, and the technology comprises the following components: resource depth exploration and coal seam high precision modeling, coal and rock layer precise blasting, coal and rock layer layering, loosening and stripping treatment, and thin coal seam stockpiling and screening according to a heat value and classification intelligent scheduling precise loading and transportation. According to the method, accurate modeling is conducted on the thin coal seam through three-dimensional modeling software, the model is updated in combination with real-time data feedback, accurate mastering of dynamic changes of the coal seam is achieved, meanwhile, through collaborative operation of accurate blasting of the coal seam and the rock stratum and layered loosening and stripping treatment, the mixing degree of the coal seam and the rock stratum is effectively reduced, and the quality of raw coal is remarkably improved; and subsequently, the thin coal seams are stockpiled and screened according to heat values, and precise loading and transportation are realized in combination with a classified intelligent scheduling system, so that the transportation efficiency and the resource utilization efficiency are greatly improved, the resource waste is fundamentally reduced, and an efficient and precise technical scheme is provided for open pit coal mine thin coal seam mining.

The invention provides a coke nut distribution method and system for blast furnace top distribution, and relates to the field of blast furnace ironmaking. The method comprises the steps that three-dimensional modeling software is adopted, a three-dimensional geometric model is built for blast furnace top material distribution equipment, a material model is built for materials, physical attribute parameters between the materials are set, and an initial model is obtained; optimizing the physical attribute parameters among the materials to obtain an optimized material distribution model; a plurality of working conditions are preset according to the feeding states of the ores and the coke nuts, and the optimized material distribution model is adopted for simulation; and analyzing the simulation result of each working condition, and determining the optimal working condition of the coke nut distribution effect. According to the method, a three-dimensional simulation model established according to actual blast furnace top material distribution equipment is utilized, simulation is performed under different preset working conditions, the distribution behavior and rule of the coke nuts in the whole transfer process of entering the blast furnace throat from the under-tank system are analyzed, and finally the working condition of the optimal coke nut material distribution effect is determined; and interference and inhibition of nut coke on central airflow during blast furnace combustion are reduced.

The invention discloses a rock-fill dam deformation stability assessment method based on multi-parameter analysis, and relates to the technical field of hydraulic engineering, the assessment steps are as follows: S1, data of a rock-fill dam is collected based on a monitoring point, the data comprises dam body deformation data and dam body contour data, and the data is preprocessed to form a data set; s2, the dam body deformation data is converted into a deformation time sequence according to the time sequence, the fractal dimension of the deformation time sequence is calculated through a box counting method, and the mapping relation between the fractal dimension and the rock-fill dam deformation stability is established in combination with historical data statistical analysis; and S3, the dam body contour data are imported into three-dimensional modeling software, and a rock-fill dam three-dimensional geometric model is constructed. According to the method, a comprehensive evaluation system is constructed, correlation analysis and verification are performed on fractal dimensions and displacement strain indexes, an evaluation value is obtained based on a weighted average method, stability levels are intelligently divided, and a visual decision basis is provided for water conservancy project management.

The invention discloses an electromechanical integrated pipeline modular installation method and device, which can perform comprehensive and accurate modeling on an electromechanical integrated pipeline through three-dimensional digital modeling software, understand pipeline spatial layout, dimension specification, material characteristics and connection relation in detail before construction, reduce field measurement confirmation time and improve construction efficiency. A clustering analysis algorithm is combined with expert experience to reasonably divide modules, standardized prefabrication in a factory is achieved, field installation time is shortened, standardized prefabrication ensures module quality and precision, field installation errors are reduced, installation quality is evaluated through an installation precision comprehensive calculation formula, deviation is found and corrected in time, and it is ensured that design requirements are met. Modularized design enables installation to be more flexible, different construction environments and requirements are met, only corresponding modules need to be replaced or adjusted for modification and adjustment, construction difficulty and cost are reduced, in addition, factory prefabrication reduces on-site workload and labor cost, and the modularized design reduces material waste, improves material utilization rate and reduces material cost.

The invention discloses a programming wire with gradient toughening FFF printing and a preparation method thereof, and relates to the technical field of programming wire preparation, and the preparation method comprises the following steps: establishing a filament model on three-dimensional software; establishing a spiral line and taking the spiral line as a path; the volume proportion is designed according to requirements; in the filament model, generating a spiral line to determine the distribution of the flexible material, and calculating the total length of the spiral line in real time; calculating the radius of a small circle of the flexible material; a spiral boss is generated through a three-dimensional modeling software lofting tool; calculating the extrusion amount and the total extrusion amount of the required filaments printed once according to a formula; importing the filament model into slicing software for dyeing and slicing treatment; and manufacturing of the programming wire with gradient toughening FFF printing is completed through 3D printing. According to the preparation method, material waste is reduced, gradient distribution of the two materials in the printed part is achieved, and therefore the mechanical property stability and the surface quality of the printed part are remarkably improved.

The invention discloses a hydraulic mechanical arm modeling and optimizing method based on a digital twinning technology, which comprises the following steps: based on geometric performance parameters of a hydraulic mechanical arm, establishing a corresponding virtual geometric morphology model through modeling software; establishing a corresponding kinematics attribute model based on the position and attitude data of each joint of the hydraulic mechanical arm; optimizing the kinematics attribute model by using an Adam optimization method to obtain an optimized attribute model; constructing a dynamic simulation model of the hydraulic system according to the working state data of each component in the hydraulic system; integrating the virtual geometric morphology model, the optimized attribute model and the dynamic simulation model to obtain a digital twinborn model of the hydraulic mechanical arm; and operating state data of the hydraulic mechanical arm are collected in real time, and the state of the digital twin model is updated based on the operating state data. According to the method, the modeling precision of the hydraulic mechanical arm is effectively improved.

The application discloses an Abaqus parameterized modeling and analysis method for a corrugated steel web combined channel girder based on Excel, and comprises the following steps: (1) a user determines the TGCW size, material and finite element analysis type required by the user according to project data; (2) a program running environment is configured, a third-party library function xlrd2 is installed, and the parameter information obtained in the step (1) is filled into an Excel input table of the corrugated steel web combined channel girder finite element analysis parameters; (3) TGCW parameter information in an Excel file is read through a Python script file; (4) TGCW related model information is defined through the Python script; (5) the Python script is run on an Abaqus platform, a TGCW finite element model is generated, and simulation analysis corresponding to the input parameters is carried out. The application can complete the modeling work of a complex model without relying on third-party modeling software, can realize an automatic modeling process, and is convenient for realizing parameterized analysis on the corrugated steel web combined channel girder.

The invention relates to the technical field of image processing, in particular to a numerical control milling machine workpiece three-dimensional modeling method and system. The method comprises the following steps: clamping a workpiece on a numerical control milling machine, controlling the workpiece to rotate at a constant speed, synchronously performing axial feeding, and collecting a correction spiral image sequence and a groove bottom image sequence; performing space-time registration on the corrected spiral image sequence and the groove bottom image sequence to extract workpiece modeling feature data; performing conversion from polar coordinates to rectangular coordinates based on the workpiece modeling feature data, resolving three-dimensional space coordinates and corresponding surface attribute values, and generating workpiece three-dimensional point cloud data; and inputting the three-dimensional point cloud data of the workpiece into three-dimensional modeling software, and carrying out gridding processing and texture rendering to obtain a three-dimensional digital model of the workpiece. According to the method, the workpiece is driven to execute self-adaptive tracking spiral motion, so that visual shielding caused by dense threads is avoided, and high-precision three-dimensional modeling of the small-helix-angle deep-groove workpiece is achieved.

The invention relates to the technical field of industrial automation and digital twinning crossing, and discloses a production line debugging method and system.The method comprises the following steps that three-dimensional modeling software is used for conducting modeling on a production line physical entity to generate a production line three-dimensional model, and the production line three-dimensional model is imported into three-dimensional processing software; the three-dimensional processing software performs format conversion on the production line three-dimensional model and then imports the production line three-dimensional model into the three-dimensional engine software, the three-dimensional engine software generates a three-dimensional engine based on the production line three-dimensional model subjected to format conversion, and the conversion control layer controls a production line physical entity to act by utilizing the three-dimensional engine. The problems of long debugging time and the like in the prior art are solved.