94 results about "3d simulation" patented technology

The invention relates to the technical field of cultural heritage digital protection, in particular to a super-volume historic building three-dimensional simulation modeling method based on multi-source heterogeneous data, and the method comprises the steps: firstly collecting node multi-source heterogeneous data such as laser point cloud, images, structural mechanical parameters and historical repair records, and then carrying out node feature enhancement through a node feature enhancement module; using an improved generative adversarial network to strengthen node edge features, adopting an adaptive threshold segmentation algorithm to extract surface texture features, converting mechanics and size data into a three-dimensional constraint condition parameter matrix, then using a topological relation verification algorithm, using a graph neural network to traverse and verify a component connection relation, and obtaining a three-dimensional confrontation model; and a re-calibration mechanism is triggered when the deviation exceeds the limit, the weight is adjusted based on a Bayesian optimization algorithm, fusion verification is carried out again, finally, hierarchical grid division is adopted to construct high-precision sub-models, and the sub-models are spliced into an integral three-dimensional model, so that the model precision and reliability are improved, and reliable digital support is provided for ancient building protection.

The invention discloses a 3D intelligent simulation generation method for clothing styles based on a model library, and relates to the technical field of digital twinning, and the method comprises the steps: carrying out the entity relation extraction and semantic mapping of multi-source clothing data, constructing a cross-modal knowledge graph, and extracting a physical constraint rule of the cross-modal knowledge graph; performing association reasoning and cross validation on the physical constraint rule and the version library to obtain a basic version template set; inputting the basic model template set into an intelligent clothing model, performing structured feature decoupling by the parameter analysis layer, dynamically adjusting a topological structure by the geometric generation layer, and generating 3D simulated clothing; and carrying out digital modeling on the basic model template set through a digital twinning algorithm, constructing a digital twinning body, carrying out physical simulation and optimization verification on the 3D simulation clothing by using the digital twinning body, and outputting a clothing style 3D simulation scheme. According to the invention, by constructing the pattern library and the intelligent garment model, the efficiency, accuracy and individuation level of garment 3D simulation generation are improved.

The invention discloses an intelligent fire-fighting AI collaborative early warning system and method fusing GIS and multi-source data, and relates to the technical field of fire-fighting safety, and the system comprises a GIS space modeling module which is used for constructing a digital twinborn model through integrating a building BIM model, fire-fighting facility distribution, a population density thermodynamic diagram, sensing equipment layout and real-time environment data; the multi-source data fusion module is used for integrating sensing equipment data, real-time environment data, meteorological information, manually reported hidden dangers and a historical fire case library, and outputting the data after standardization processing; the AI collaborative early warning engine module is used for accessing standardized data, realizing building fire dynamic risk assessment and outputting graded warning information; the 3D simulation drilling platform is used for calling the digital twinborn model, receiving graded alarm information and supporting fire spreading simulation, emergency drilling and plan optimization; and the block chain evidence storage module is used for storing alarm information and drill records. According to the invention, risk assessment and accurate prediction of the fire hazard can be realized.

The invention relates to the technical field of three-dimensional simulation scheduling, and discloses a three-dimensional simulation deduction and intelligent scheduling system for multi-scene collaborative operation. The system comprises a scene fusion modeling module, a dynamic deduction period calculation module, a resource dimension analysis module and a deduction strategy generation module. The scene fusion modeling module is used for generating a three-dimensional collaborative operation space model containing different operation scene space coordinate mapping relations and inter-scene resource flow paths based on multi-scene parameters configured by a user; a dynamic deduction period calculation module obtains the remaining duration from the current time to the preset deduction ending time, and calls a first dynamic mapping relation to calculate an initial deduction period; a resource dimension analysis module identifies the number of types of resources participating in the collaborative operation, and calls a second dynamic mapping relation to generate a periodic regulation factor; and the deduction strategy generation module performs weighted fusion on the two to obtain a self-adaptive deduction period, and formulates a three-dimensional simulation deduction strategy according to the self-adaptive deduction period to adapt to multi-scene dynamic change so as to realize efficient coordination of simulation and scheduling.

The invention relates to the technical field of geological exploration, in particular to an underground environment data acquisition method and system for three-dimensional simulation environment modeling, working condition parameters are acquired and input into a CFD model, and an underground dynamic risk map is generated based on shock wave signals; the method comprises the following steps: collecting water mist data to construct a humidity field, and embedding humidity field data into a dynamic risk map generation process, which comprises the following steps: in an injection compression period, solving an N-S equation set, detecting and encrypting a key area grid through a pressure gradient, and generating a burst dust cloud form and density distribution. The results of four stages of turbulence evolution are fused to form a five-dimensional tensor structure including space coordinates, duration time, humidity compensation risk levels, a water film distribution thermodynamic diagram and a water mist light attenuation coefficient, different risk areas can be clearly marked, switching of data acquisition strategies is guided, the problems of artifacts and distortion are effectively solved, and the accuracy of data acquisition is improved. Accurate point cloud data can be obtained in a complex environment.

The invention relates to the technical field of glass bottle production, in particular to a three-dimensional simulation design method and system for a light-weight glass bottle production digital mold. The method comprises the following steps: constructing a digital mold geometric model for a glass bottle mold; a bubble escape priority path is identified according to the digital mold geometric model, and a glass bottle digital simulation model is constructed; executing molten glass flow-heat transfer-bubble evolution coupling simulation based on the glass bottle digital simulation model to extract a potential bubble nucleation and aggregation area; calculating a bubble defect tendency value of the potential bubble nucleation and aggregation area, and performing glass bottle production defect space mapping to generate a glass bottle production defect risk area; differentiated defect risk optimization is carried out on the glass bottle production defect risk area, so that the production design requirement of the light-weight glass bottle is met. According to the invention, through bubble escape path identification and three-dimensional coupling simulation, accurate positioning and differential optimization of the bubble defect risk of the glass bottle are realized.

The invention discloses a simulation test method for electronic packaging equipment, which comprises the following steps of: importing PCB (Printed Circuit Board) design data to form a unified intermediate format; multi-dimensional parameter mapping association is carried out on the geometric entity and an equipment execution module of packaging equipment in the digital twin model library, and multi-dimensional parameters comprise space coordinates, thermal characteristics and electrical characteristics; according to the correlation result, a dynamic rule engine is called to generate and update process rules in real time, and the process rules comprise the solder paste jet printing speed, the dispensing pressure, the surface mounting force threshold value and the backflow peak temperature curve; loading the updated process rule to a digital twin model of the electronic packaging equipment, and driving the model to generate an executable control program; and running the control program in a 3D simulation environment to obtain a virtual running track, a heat distribution field and a stress field. According to the method, the trajectory, the thermal field and the stress field are output in advance through 3D simulation, the collision, warping and overheating risks are eliminated in the virtual stage, the number of real object proofing rounds is reduced, and the overall introduction cost is saved.

The invention relates to the technical field of unmanned aerial vehicle logistics and path planning, in particular to an improved grey wolf optimization method for unmanned aerial vehicle logistics distribution planning. The method comprises the following steps: firstly, constructing a three-dimensional simulation environment containing an obstacle and setting a path constraint condition; a comprehensive objective function is established, and four sub-objectives of path length, collision penalty, smooth penalty and height violation penalty are integrated through weighted summation; in the algorithm level, Kent chaotic mapping is adopted to generate an initial population to improve diversity, control parameters are changed into a nonlinear adaptive updating strategy to balance global exploration and local development, and a particle swarm optimization algorithm idea is fused to introduce an adaptive inertia coefficient and a dynamic weight coefficient to improve a grey wolf position updating rule; and finally, performing iterative optimization through an improved hybrid algorithm, and outputting an optimal path. The method can effectively improve the quality and efficiency of path planning, and enables the generated path to be economical, safe and smooth.

This invention discloses a PCB characteristic impedance simulation optimization method and system based on 3D modeling, relating to the field of high-speed intelligent circuit technology. The method involves acquiring measured material parameters and process deviations of the PCB to generate twin parameter vectors; constructing a local 3D subdomain model; concatenating the local 3D subdomain model with the manufacturing twin dataset to obtain multi-dimensional physical feature vectors, which are then processed to obtain a sequence of key influencing factors; processing the key influencing factor sequence using an impedance prediction proxy model to obtain the time-domain reflection impedance curve and the corresponding coordinates of 3D spatial impedance abrupt change points; adjusting the coordinates of the 3D spatial impedance abrupt change points based on an impedance reshaping strategy to obtain optimal 3D compensation parameters; reconstructing the 3D simulation model using the optimal 3D compensation parameters to obtain updated PCB manufacturing data; and outputting impedance control parameters through a target verification rule engine to accurately locate the coordinates of impedance abrupt change points in 3D space, thereby improving design efficiency and quality.

This invention relates to the field of automotive braking technology, and specifically to a method for analyzing braking noise in an automotive braking system. The method comprises the following steps: S1: Obtaining the rotational stiffness of the brake pads during braking; S2: Establishing a 1D model of the automotive braking system based on the rotational stiffness of the brake pads to obtain the relative angular velocity between the brake disc and brake pads during the complete braking process; S3: Dividing the relative angular velocity interval between the brake disc and brake pads during the complete braking process into n equal intervals; S4: Establishing a 3D analysis model of the automotive braking system's braking noise based on the stick-slip effect between the brake disc and brake pads, based on the interval division of the relative angular velocity; S5: Obtaining the results of the braking noise analysis of the automotive braking system based on the stick-slip effect between the brake disc and brake pads during the complete braking process; S6: Verifying and correcting the 1D model of the automotive braking system and the 3D simulation analysis model of the automotive braking system's braking noise based on actual experimental results.

The invention discloses a vehicle-mounted screen 3D simulation seat adjustment interaction method, and relates to the technical field of vehicle control, and the method comprises the steps: obtaining a 3D engine, and constructing a 3D virtual model corresponding to an automobile physical seat according to the 3D engine; displaying the 3D virtual model on a user interaction interface; establishing a dynamic binding relationship between the 3D virtual model and the seat unit, and completing initial calibration according to a spatial state; obtaining a touch operation of a user on a target adjusting part in the 3D virtual model, analyzing the type and track of the touch operation and target part information, and generating an interaction instruction; the target adjusting component comprises a headrest, a backrest and a leg support; the interaction instruction is converted into a seat motion control signal, the seat motion control signal is sent to a seat motion control module, and a physical seat is driven to execute corresponding adjusting actions; a highlight semitransparent guide rail projection is generated through the visual feedback unit, and continuous click type vibration is provided through the tactile feedback unit; the real-time state of the physical seat is obtained, and the 3D virtual model is driven to be synchronously updated.

The invention relates to a weather scene image generation method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring a first weather scene image corresponding to a first weather type; preprocessing the first weather scene image to obtain a weather scene image to be converted; inputting the to-be-converted weather scene image into an image conversion prediction model for weather type conversion prediction processing to obtain a target prediction scene image corresponding to a second weather type; and performing image adjustment processing on the target prediction scene image to obtain a second weather scene image. According to the technical scheme provided by the invention, the prediction error can be reduced, the stability and accuracy of the image conversion prediction model can be improved, the reality sense and visual quality of the weather scene image can be improved, a complex 3D simulation environment does not need to be constructed, and the deployment and maintenance cost is reduced.

This invention discloses a method, device, product, and medium for real-world modeling using oblique photogrammetry for air-ground fusion. By acquiring image data using oblique drones, low-altitude drones, and ground cameras according to specific rules and performing fusion calculations, the method satisfies the requirements for aerial triangulation while ensuring efficient field work time. This method significantly improves modeling effectiveness and accuracy, resulting in a constructed 3D model with picture-level texture and pixel-level precision. The method boasts strong feasibility, realistic texture effects, and a high degree of precision, providing reliable and authentic surveying and mapping geographic information for applications such as engineering planning, design, display, and 3D simulation.

This application relates to the field of rail transit technology, and in particular to a software and hardware development method and system for an inspection robot. The method includes: based on user-inputted task scenario requirements, calling multiple 3D hardware models from a physical modular hardware library to obtain a 3D simulation robot corresponding to the task requirements; based on the 3D simulation robot, the task scenario requirements, and the physical attributes of each 3D hardware model in the 3D simulation robot, calling multiple standard functional nodes from a pre-established node library to construct a task logic flowchart; and based on the task logic flowchart, performing operational simulation and logic verification on the 3D simulation robot to obtain a task execution strategy; and based on the task execution strategy, compiling and packaging the task logic flowchart to obtain executable code for the user to drive the physical robot to perform operations. This significantly improves the development efficiency of inspection robots while lowering the development threshold.

The invention relates to the technical field of cable wiring systems, in particular to a new energy ship cable wiring system which comprises a line planning unit, a trunking preassembling unit, a wiring position positioning unit and a wiring mechanism. The line planning unit adopts a 3D simulation software digital modeling technology, combines a ship structure, equipment layout and power requirements, automatically calculates an optimal wiring path, optimizes cable trend, wire diameter matching and safety spacing configuration, and meanwhile, automatically generates a wiring scheme in cooperation with an AI auxiliary decision-making system, so that high-energy-efficiency and low-loss cable layout is realized; the trunking preassembling unit is used for installing a plurality of fixed trunkings on a cable wiring path at equal intervals according to the wiring path provided by the line planning unit, and recording trunking installation positions and trunking information at the same time; high-energy-efficiency and low-loss cable layout is achieved, high-precision positioning of cable laying is achieved by automatically checking the installation position, manual errors are reduced, and the cable wiring efficiency is improved.

This invention relates to the field of sewing machine control technology and discloses a sewing machine energy-saving operation control and power consumption optimization system, comprising: a data acquisition module, which includes power consumption sensors, operating status sensors, and fabric parameter acquisition components associated with the sewing machine, all installed in each working unit of the sewing machine. The fabric parameter acquisition components establish data interaction with the Style3D cloud fabric database. In this invention, the system relies on precise parameters such as fabric material, thickness, and elastic modulus obtained from the Style3D cloud fabric database, combined with a power consumption optimization model trained by 3D simulation, to output appropriate driving power, speed, and other operating parameters for different fabric characteristics, effectively reducing equipment operating energy consumption. Simultaneously, temperature and humidity data collected by environmental sensors can achieve parameter compensation and adjustment, preventing high-temperature overload energy consumption. Actual verification shows that it can reduce the overall power consumption of a single machine by 15%-25%, significantly reducing energy costs at the production end.

This invention belongs to the field of 3D simulation training technology and provides a lightweight modeling and real-time rendering 3D simulation training system. It includes a lightweight modeling module that optimizes 3D models to generate a lightweight model library that supports dynamic adjustment of detail levels; a real-time rendering and interaction module that uses a Unity3D or WebGL engine and dynamically adjusts the model detail levels based on LOD technology according to view distance; a multimodal training and assessment module that integrates question bank management, dynamic question loading, and automatic scoring functions; and a permission management and data security module that implements role-based permission isolation and uses the AES-128 algorithm to encrypt and protect data. This invention effectively eliminates the risk of unauthorized operations and data leakage in a single-machine environment through local role-based permission verification and multi-level database encryption mechanisms, ensuring system security in offline training scenarios. Compared to the plaintext storage and weak permission control of existing technologies, this invention significantly enhances the system's security capabilities.

The invention discloses a method for automatically generating a three-dimensional simulation wire harness standard production based on a wiring relation, and relates to the technical field of wire harness three-dimensional space simulation length and wire harness production, and the method comprises the steps: S1, drawing an electrical cabinet three-dimensional model according to electrical elements in an electrical cabinet; s2, placing the electrical element in the three-dimensional model of the electrical cabinet, and inputting wiring point character attribute data of the electrical element; s3, drawing a wiring harness path diagram with public target positioning according to the three-dimensional model of the electrical cabinet, the wiring point character attribute data of the electrical element and the public point character data; s4, automatically generating a three-dimensional wire harness with a bundling space distribution position based on an electrical wiring table and the obtained wire harness path diagram; and S5, according to the obtained three-dimensional wiring harness path model, each wiring harness is exported into a corresponding sequence lower line table according to a bundling space position sequence, and inflection point positions of each wiring harness form data to be output to the lower line table.

A method of training a machine learning algorithm to identify objects or activities in video surveillance data comprises generating a 3D simulation of a real environment from video surveillance data captured by at least one video surveillance camera installed in the real environment. Objects or activities are synthesized within the simulated 3D environment and the synthesized objects or activities within the simulated 3D environment are used as training data to train the machine learning algorithm to identify objects or activities, wherein the synthesized objects or activities within the simulated 3D environment used as training data are all viewed from the same viewpoint in the simulated 3D environment.

According to the vehicle abnormal sound prediction method and device and the electronic equipment provided by the embodiment of the invention, a vehicle 3D simulation model is constructed, and the vehicle 3D simulation model comprises gap size data of vehicle parts; abnormal sound risk detection is carried out on the gap size data of the vehicle parts based on a gap size standard, abnormal sound risk parts are determined based on a detection result, and the gap size standard is determined by a mapping relation between historical gap size data and historical abnormal sound data of the vehicle parts; and performing visual marking on the abnormal sound risk component in the vehicle 3D simulation model. The abnormal sound problem of the vehicle part is quantified as whether the gap size of the vehicle part meets the specified gap size standard, the accuracy and efficiency of abnormal sound judgment of the vehicle part can be improved, and manual missing detection is avoided.

The invention relates to the technical field of filling mining processes, in particular to a method for reserving a stope dado frame column under the two-side heterogeneous filling condition, which comprises the following steps of: (1) investigating the strength of filling bodies: drilling and coring the filling bodies on the two sides of a panel ore pillar, and testing the strength distribution rule along the trend and the longitudinal direction; (2) self-supporting height calculation: calculating the self-supporting height of the filling body based on the South African formula and the empirical formula of the limit equilibrium theory, and taking the minimum calculation value as the final self-supporting height; and (3) blasting disturbance simulation: simulating the weakening effect of different dado thicknesses on blasting disturbance through LS-DYNA software, and determining the minimum dado thickness of the filling body without disturbance influence. According to LS-DYNA software, simulation determination is conducted on the retaining wall reserved thickness under the condition that the filling body is not subjected to blasting disturbance, the self-standing height of the filling body is compared with the self height of the filling body, and the retaining wall reserved thickness under the stable state of the filling body is determined through FLAC 3D simulation.

To provide a system which enables a user to confirm concrete exterior design in real time and generate an optimum plan while making necessary corrections.SOLUTION: The method includes a means for inputting a desire of an exterior structure by a user, a means for analyzing input data from the user by a server, a means for generating a 3D simulation image based on the analyzed data by the server, a means for displaying the simulation image and detailed information on a user terminal by the server, a means for requesting a change of the simulation result by the user, a means for receiving the change request by the server and updating the design data, and a means for generating a proposal to a construction company based on the final design data and transmitting the proposal by the server.SELECTED DRAWING: Figure 1

This invention discloses a method and system for dynamic motion simulation of scraper conveyor chains based on 3D modeling, belonging to the field of digital simulation technology for industrial equipment. The method includes acquiring a 3D model of the basic components of the scraper conveyor, reading the vertex coordinates of an auxiliary motion trajectory model, and generating a motion trajectory curve; parameterizing the arc length of the motion trajectory curve to generate uniform motion control parameters; generating chain instances based on a preset chain repetition number, and binding the chain instances to the motion trajectory curve; receiving chain motion state parameters, and driving the chain instances to displace along the motion trajectory curve according to the uniform motion control parameters, dynamically adjusting the motion simulation effect. Compared with traditional implementation methods, the method of this invention effectively solves the performance bottleneck problem, reduces resource consumption, and has certain guiding significance for equipment fault diagnosis and predictive maintenance. It provides a practical approach for 3D simulation of industrial equipment and is a key technology for the digital and intelligent transformation of the industrial field.

This invention belongs to the field of simulation modeling technology, and particularly relates to a power equipment fault simulation analysis modeling system. It includes at least an interaction layer, a logic processing layer, and a data management layer. The interaction layer includes model editing interaction components, simulation interaction components, and interaction control components. The logic processing layer includes modeling processing components, simulation parameter editing components, and import / export components. The data management layer includes a power equipment model database and a power equipment fault database. This application is intended for power equipment simulation teaching, fault analysis, and other purposes, meeting the application needs of teaching, experimentation, verification analysis, and other fields. Its main purpose is to provide a solution based on current simulation platforms that better achieves compatibility with various 3D simulation modeling software and simulation analysis data platforms, simplifies the power equipment fault simulation system, and enables better application in teaching analysis.

The invention provides an unmanned aerial vehicle nest position planning method and system based on a communication iron tower and a medium, and relates to the field of unmanned aerial vehicles, in the method, existing infrastructure resources are integrated by constructing a comprehensive database, site selection planning is carried out based on multi-objective optimization and an adaptive genetic algorithm, and dynamic adjustment and optimization are carried out in combination with three-dimensional simulation verification. According to the method, system integration and optimal utilization of urban infrastructure resources are realized, the nest deployment cost is reduced, and the scientificity and feasibility of a site selection scheme are improved; meanwhile, through multi-objective optimization and simulation verification, the coverage efficiency and the operation reliability of the unmanned aerial vehicle nest network are ensured, and reliable infrastructure support is provided for urban unmanned aerial vehicle application.

The invention relates to a packaging design platform of cigarette products, a construction method of the packaging design platform and a storage medium, and the construction method of the packaging design platform comprises the following steps: S1, constructing a tobacco platform engine based on a rendering engine; s2, platform user identities are established, wherein the platform user identities comprise an IT system administrator, a platform administrator, a basic data administrator, a design project administrator, design project members and review experts; s3, according to the tobacco platform engine, establishing functional modules including a design module, a review module and a carbon tracking module; and S4, mapping the function module based on the identity of the platform user, and distributing the authority of the function module. According to the method, related design definitions are constructed into a data model through application of a digital 3D simulation design technology; various digitization modes can be designed and calculated, the digitization design technology is effectively improved and innovated, and the design quality of cigarette products is improved.

A construction method for a prefabricated dome includes the following steps: S1. Using 3D simulation software to simulate and analyze the entire construction process and formulate construction techniques; S2. Using Rhino modeling for detailed modeling, and extracting the location information of key points, including the coordinates of the key points and the angles between adjacent key points; S3. The prefabricated dome is installed using a combination of unit-based and segmented installation methods, including column installation, arch shell installation, flat shell installation, and frame removal. Each component is segmented according to the detailed drawings and numbered before processing; S4. Column installation is carried out by assembling the corresponding components in sections at the factory, followed by on-site hoisting and assembly, which achieves high-altitude hoisting and assembly efficiency and reduces construction risks.

This invention discloses a digital twin method and system for staged combustion in a coal-biomass fluidized bed boiler. The method establishes a comprehensive database including 3D simulation data and operational data from the coal-biomass fluidized bed boiler. A neural network is used to model and couple the gas and particulate phases separately to obtain a coal-biomass combustion model, which is used to predict the temperature, pressure, and velocity fields of the coal-biomass fluidized bed boiler. Finally, the coal-biomass combustion model is integrated with the boiler's PLC system to achieve data transmission, resulting in a digital twin model of coal-biomass combustion, enabling real-time control and dynamic optimization. This invention achieves online real-time prediction of boiler performance, and through continuous accumulation and dynamic training of operational data, it enables long-term model updates and continuous improvement in the level of intelligence.

The invention relates to the technical field of electricity utilization inspection, in particular to an electricity utilization inspection hidden danger detection method based on intelligent image recognition and three-dimensional simulation. According to the technical scheme, the power utilization inspection hidden danger detection method based on intelligent image recognition and three-dimensional simulation comprises the following steps that S1, image data and environment parameter data of power field equipment are collected through a mobile terminal provided with a multispectral imaging module, and a multi-modal input set is formed; wherein the multispectral imaging module synchronously collects visible light, infrared thermal imaging and ultraviolet corona discharge data, and obtains temperature, humidity and noise level parameters in combination with an environment sensor; s2, carrying out adaptive preprocessing on the collected data, wherein the adaptive preprocessing comprises data cleaning, feature extraction and quality evaluation; the data quality is effectively improved through multispectral synchronous acquisition and self-adaptive preprocessing, so that the hidden danger detection accuracy is remarkably improved; and secondly, the intelligent identification model enhances the capability of capturing tiny defects, and the risk of missing detection is greatly reduced.

We provide the system. [Solution] A computer processing means for collecting user characteristic data and analyzing the user's personality characteristics, A generation engine means that generates specific driving situations based on the aforementioned personality characteristics and creates 3D simulation images, An interface device means that provides 3D simulations to the user and collects the user's driving information in real time, An evaluation unit means that analyzes collected driving information and generates specific driving improvement advice for the user, A training planning module means for customizing the next training situation based on the evaluation results, A system that includes this.