309 results about "Visualization model" patented technology

The invention relates to the technical field of data visualization, in particular to a digital twinning-oriented workshop data visualization system, which comprises a heterogeneous data space-time stamp reconstruction module for acquiring a sensor data stream, an MES service data packet and an environment monitoring data set and generating a space-time aligned fusion data frame; the dynamic topology compensation modeling module is used for constructing a digital twin body with a time sequence attribute and outputting a dynamic topology relation matrix comprising a geometric deviation compensation value; the event-driven incremental rendering engine module is used for generating a visual model only updating a change part by adopting a difference region recognition technology, and outputting a three-dimensional visual interface with an abnormal coordinate mark; and the bidirectional feedback control channel module is used for analyzing the abnormal coordinate mark, generating an equipment parameter adjustment instruction set through a reverse path tracking algorithm, and transmitting the equipment parameter adjustment instruction set back to the physical equipment controller. According to the invention, a bidirectional feedback closed loop with a physical equipment controller is realized, and dynamic adjustment and adaptive control are supported.

The invention belongs to the technical field of geological engineering monitoring and multi-physics field intelligent sensing, and discloses a separation grouting slurry migration monitoring method and system, and the method comprises the steps: constructing an acoustics-optics-electricity-electromagnetism multi-physics field coupling monitoring system; a grouting hole and a monitoring drilling hole array are arranged in a target stratum, a distributed optical fiber sensor, a drilling hole ultrasonic imager, a resistivity measuring device and a transient electromagnetic detection device are installed, and a three-dimensional monitoring network is formed; synchronously acquiring sound field, light field, electric field and magnetic field data; four-field monitoring data and overlying strata multi-parameter observation data are fused, a coal seam mining three-dimensional overlying strata separation model is constructed, and a slurry diffusion three-dimensional visualization model is generated through numerical simulation; and based on the four-field monitoring response difference of the separation space before and after grouting, in combination with a monitoring frequency domain correction model of multiple indexes of grout diffusion, the diffusion range, compactness and filling effect of the grouting grout are evaluated, and abnormal early warning is triggered.

The invention relates to the technical field of three-dimensional models, and discloses a GIS data-based low-altitude visual three-dimensional model automatic generation method, which comprises the following steps of: acquiring multi-source GIS vector data from an open geographic data source, performing standardized preprocessing through a data cleaning rule set, constructing a Cesium earth scene basic framework in a UE5 engine environment, and dynamically generating a city L2-level three-dimensional visualization model based on a preprocessed GIS data stream; when a low-altitude visual three-dimensional model is generated, a lightweight data format is adopted, data transmission efficiency and dynamic updating capability are improved, complex light environment changes can be adapted in real time, the problem of color distortion on the surface of the model is reduced, meanwhile, a visual angle deviation detection and correction mechanism is established, the geometric body edge distortion phenomenon is relieved, and the generation efficiency of the low-altitude visual three-dimensional model is improved. And the color rendition precision and the spatial positioning reliability of the low-altitude scene are improved.

The invention relates to the field of medical image processing and pathological diagnosis, aims to solve the problems that brain glioma multi-modal image fusion precision is low, heterogeneity feature and pathological association is weak, and visualization readability is poor, and provides a visualization method and device. The method comprises the steps of multi-modal image preprocessing and registration, regional adaptive multi-modal fusion, pathology association type heterogeneity feature quantification, multi-dimensional pathology visualization, and result verification and optimization. Images are rigidly registered and aligned through mutual information, features are enhanced by adopting a regional differentiation attention fusion algorithm, features are quantified through an improved LSSVM, pathological gold standards are associated, and a three-dimensional visualization model is constructed to visually present heterogeneity information. The device comprises a memory and a processor and can execute the method. According to the method, the heterogeneity evaluation accuracy and clinical readability are improved, treatment scheme optimization is assisted, and the method is suitable for accurate diagnosis and treatment scenes of brain glioma.

The embodiment of the invention discloses a building model rendering method and related equipment. The method comprises the following steps: when a rendering request is received, determining a rendering type of a building model in at least one to-be-rendered frame and a target component needing to be loaded based on the rendering request; screening out visual model data corresponding to the target component in a preset visual database, and identifying component attribute information of the target component in a preset graph database to generate a target rendering parameter; and loading the to-be-rendered frame, and rendering the building model in the to-be-rendered frame based on the rendering type and the target rendering parameter. Through the mode, the visual model data used for entity basic rendering is obtained from the preset visual database, the component attribute information used for entity attribute rendering is obtained from the preset graph database, so that the target rendering parameters are generated, and rendering is completed according to the target rendering parameters. Therefore, the integrity of the data required for rendering is ensured, and the rendering efficiency and the rendering quality are improved.

The invention discloses a visualization method and system for an oversized in-situ filling space under a composite roof, and belongs to the technical field of information processing. The method comprises the following steps: performing multi-angle data acquisition on a filling space under a composite roof structure to obtain original point cloud data; obtaining complete three-dimensional point cloud data based on the original point cloud data; preprocessing the three-dimensional point cloud data to obtain standard point cloud data; performing boundary contour recognition based on the standard point cloud data to obtain space boundary contour data; obtaining a spatial three-dimensional geometric model based on the spatial boundary contour data; performing section slicing based on the space coordinate range of the space three-dimensional geometric model, and obtaining size distribution data based on the obtained contour size parameters of the section; obtaining a total volume and a segmented volume of the filling space based on the size distribution data; and obtaining a three-dimensional visual model of the filling space based on the total volume and the segmented volume. The method provides reliable technical support for mine filling design and resource evaluation.

The invention relates to the technical field of liver surgery, and discloses a liver surgery planning system based on data fusion. The system comprises an image data fusion module, a three-dimensional model construction module, an operation path planning module, a risk assessment module and a scheme optimization module. The image data fusion module integrates CT and MRI images to generate a standardized image fusion model; a three-dimensional model building module generates a liver three-dimensional visual model according to the three-dimensional model; the operation path planning module plans an optimal resection path to form a preliminary operation path scheme; the risk assessment module assesses the surgical risk and generates a report; the scheme optimization module generates a final surgical planning scheme based on the report adjustment parameters. According to the system, through the multi-source data fusion and three-dimensional visualization technology, the liver structure and the tumor position are accurately presented, the operation path is scientifically planned, the operation risk is evaluated and avoided, the operation scheme is optimized, and accurate implementation of the liver operation is assisted.

The invention provides a geological envelope body automatic generation method. The method comprises the following steps: defining a target work area; performing sparse horizon picking of a top interface and a bottom interface on the geological envelope in the defined target work area to determine a top interface horizon, a bottom interface horizon and corresponding top interface and bottom interface data; based on the grid positions corresponding to all the pickup point positions of the top interface horizon and the bottom interface horizon, according to the range of the top interface data and the range of the bottom interface data, boundary lines of the geological envelope body at the top interface and the bottom interface in the target work area are determined; determining horizon depth values in all grid points of the top interface and the bottom interface; constructing a top interface boundary constraint and a bottom interface boundary constraint according to the horizon depth value and based on boundary lines of the geological envelope body at the top interface and the bottom interface to determine an intersection point between the top interface and the bottom interface of the envelope body so as to optimize the boundary lines of the geological envelope body at the top interface and the bottom interface; and generating a three-dimensional visualization model of the geological envelope based on the optimized boundary line.

The invention discloses a system for realizing bidirectional conversion between a model and a code, and the system comprises a meta-model architecture module which is used for constructing a unified model specification; the meta-model engine module is used for generating, analyzing and processing the meta-model architecture module; and the bidirectional conversion module is used for realizing forward and reverse synchronous conversion between a zero code model and a Java model serving as a program code by adopting the meta-model engine module. By means of the scheme, a unified specification with the meta-model architecture as the core is established, a powerful meta-model engine is used for automatic processing, and the barrier between a zero-code visualization model used by business personnel and bottom-layer Java codes written by developers is seamlessly broken through. The synchronization capability of the model and codes ensures the continuous alignment of business design and technical implementation, and effectively supports the quick iteration of agile development and business.

The invention discloses a construction period carbon emission visual regulation and control method and system. The method comprises the following steps: obtaining a visualization level and a visualization model containing BIM data; responding to an input operation on the visual level and the visual model, and determining a to-be-processed component; when the input operation is a component updating operation, updating component data of the to-be-processed component in the visual model; and when the input operation is a component display operation, displaying the to-be-processed component according to the later rendering color corresponding to the to-be-processed component. The invention provides a construction period carbon emission visual regulation and control method and system, and aims to solve the technical problem that dynamic visual display and active regulation and control cannot be performed on construction period carbon emission in the prior art.

The invention relates to a construction quality management method based on BIM secondary development. In order to improve the informatization level of an outer protection frame erection size detection process, automatic comparison between a detection result and a design size is realized. Revit software is used for parametric modeling of the fastener type steel pipe scaffold component family model, and a standard component family library is constructed. Modeling is driven based on Dynamo data, and the fastener type steel pipe scaffold BIM model automatic generation and updating method is provided. And a construction quality management platform based on BIM secondary development is developed, automatic comparison of a design scheme and a detection result is realized, and construction errors are graded and fed back to the BIM visual model. In order to improve user experience, a user interface of the platform in Revit is customized and developed. Compared with the prior art, the system has excellent performance in the aspects of working efficiency and visual display, and can effectively promote the intelligentization and informatization process of construction quality detection and management.

The invention discloses a gradient random porous structure design method based on a growth function and RBF (Radial Basis Function) interpolation, which relates to the technical field of geometric modeling and computer graphics, and comprises the following steps: collecting and preprocessing Voronoi seed point coordinates and implicit boundary parameters, extracting density field and gradient parameters, and calculating the density field and gradient parameters; mixing different pore forms based on a beta growth function to generate a transition region model, constructing a scalar field in combination with RBF interpolation, fusing the model and a density field to generate global gradient distribution, optimizing iteration to verify mechanical properties and correcting parameters, mapping the parameters into three-dimensional grid data, rendering a pore density cloud chart and a thermodynamic chart, and marking key parameters. By combining the beta growth function and the RBF interpolation, the problem of strong coupling of gradient control and seed point distribution and the problem of rigid transition of a supporting structure body are solved, flexible design of smooth gradual change and complex gradient of the pore form is achieved, mechanical properties are verified through optimization iteration, a three-dimensional visual model is generated, and the method is suitable for large-scale popularization and application. And the geometric continuity and controllability of the porous structure design are obviously improved.

The invention discloses a prediction method and a prediction system for fracture risk of an osteoporosis patient. The method comprises the following steps: firstly, collecting a plurality of parameters such as age, bone mineral density, vitamin D level and the like of the patient; constructing a bone time-varying factor and dynamic prediction model, and determining the influence weight of each parameter on the bone condition at different time nodes; then, a three-dimensional mechanical model is constructed through mechanical simulation of the skeleton microstructure, stress distribution, strain states and structural stability of the skeleton under different loads are simulated, and the model is corrected by fusing parameters to influence weights; then the fracture probability in a future preset time period is calculated; and finally, a result is presented through a nomogram visualization model. The system realizes the above method, can predict the fracture risk more accurately, and provides powerful support for clinical diagnosis and treatment.

The present invention relates to the field of three-dimensional data processing technology, and in particular to a method and system for three-dimensional visualization of surveying and mapping data based on the Internet of Things. The method comprises the following steps: collecting original surveying and mapping data within a surveying and mapping area through Internet of Things sensors, wherein the original surveying and mapping data includes terrain elevation data and environmental monitoring data; preprocessing the original surveying and mapping data to obtain standard surveying and mapping data; performing multi-scale analysis on the terrain elevation data of the standard surveying and mapping data to obtain multi-scale terrain features; and performing multi-scale terrain detection on the multi-scale terrain features to obtain multi-scale terrain data. The present invention utilizes data processing technology, Internet of Things technology, and three-dimensional mapping technology to more accurately reflect the spatiotemporal relationship between terrain and environment, and construct a three-dimensional surveying and mapping visualization model, thereby improving the accuracy and effect of three-dimensional visualization of surveying and mapping data.

The invention discloses a three-dimensional ground penetrating radar detection method, system and equipment for road roadbed diseases and a medium, and relates to the technical field of road engineering detection. Controlling a high-frequency antenna and a low-frequency antenna to emit electromagnetic waves to a road roadbed based on the movement of the detection vehicle so as to receive reflected high-frequency data and low-frequency data; processing the high-frequency data and the low-frequency data based on the positioning attitude data to obtain processed high-frequency data and processed low-frequency data; processing and fusing the processed high-frequency data and the processed low-frequency data to obtain a full-band reflection coefficient sequence; calculating the full-band reflection coefficient sequence to obtain broadband geological radar data; inputting broadband geological radar data into the convolutional neural network model to obtain a disease type and a disease semantic segmentation map; and generating a three-dimensional visual model of the roadbed disease based on the disease semantic segmentation map, and outputting maintenance suggestion data matched with the disease type. By implementing the technical scheme, the accuracy of deep hidden disease recognition is improved.

The invention belongs to the technical field of a strength analysis method of a lattice structure, discloses an efficient finite element modeling and analysis integrated method for static analysis of the lattice structure, and establishes an efficient and high-precision finite element modeling and analysis integrated method for the lattice structure. Aiming at the limitations that in traditional finite element analysis, high-quality hexahedron mesh generation is difficult and units need to ensure welt processing, the method adopts structured meshes to quickly divide the meshes, improves a self-adaptive integral strategy in a traditional finite cell element method, and further improves simulation efficiency. Meanwhile, a penalty function method is adopted to weakly apply displacement boundary conditions. In addition, in post-processing, a result calculated by a finite cell method is mapped to a smoother visual model. Through example comparison, it is verified that the method can perform strength check domain analysis on the complex lattice structure in a stable and efficient mode, and a feasible scheme is provided for efficient analysis of a large-scale complex engineering structure.

The invention discloses a curative effect evaluation system for treating liver cancer by combining HDRBT with thermal ablation in multi-modal radiomics, and relates to the field of liver cancer treatment, and the system comprises a multi-modal image data acquisition module which is used for collecting multi-modal image data; the three-dimensional visual model construction module is used for reconstructing a three-dimensional structure of liver tumors, peripheral blood vessels and bile ducts through an image segmentation algorithm, and generating a visual model by fusing radiomics characteristics; the combined treatment plan generation module is used for integrating the dosimetry parameters of the HDRBT and the process parameters of the thermal ablation, optimizing a catheter implanting path, the position of a thermal ablation electrode and a treatment sequence, and generating a combined treatment scheme; and the curative effect evaluation module is used for quantitatively analyzing tumor volume change, ablation boundary integrity and residual tumor activity through accurate registration of multi-modal images before and after treatment. According to the scheme, the problems of incomplete thermal ablation and high recurrence rate of hepatocellular carcinoma can be solved, and full-chain technical support is provided for clinical precise application.

The application discloses an airplane hydraulic servo actuating system simulation method based on digital twinning, and the method comprises the following steps: (1) constructing a digital twinning hydraulic simulation model and a digital twinning three-dimensional visual model of an airplane hydraulic servo actuating system physical system; (2) storing simulation model output data of a monitoring point of the digital twinning hydraulic simulation model and sensor acquisition data of the airplane hydraulic servo actuating physical system in real time and synchronously to form twinning data; (3) comparing and analyzing the simulation model output data and the sensor acquisition data, iteratively optimizing the digital twinning hydraulic simulation model through a model optimization module, and simultaneously performing three-dimensional visual demonstration on the working condition of the airplane hydraulic servo actuating virtual model. The application can provide a simulation modeling and optimization method for airplane hydraulic servo actuating system design, and provide a reference for research and verification of virtual-real mapping technology of the airplane hydraulic servo actuating system based on digital twinning.

The invention discloses a visual experiment device and method for evaluating a screen pipe gravel filling sand prevention technology, and belongs to the technical field of oil and gas exploitation. The upper portion of the inner side of the visual model box is in sliding fit with a top screen in the vertical direction, and a loading part is arranged at the top of the visual model box. A bottom screen is arranged at the lower part of the inner side of the visual model box; a filtering simulation space for placing gravels is formed in the inner space of the visual model box between the top screen and the bottom screen; the visual model box is connected with the injection system; and a sand collecting pipe is arranged at the lower part of the bottom screen in the visual model box. The device can simulate the sand production condition when the gravity direction of the sand in the bottom hole stratum is the same as the flowing direction of the fluid and the invasion process of the stratum sand to the gravel layer, and can be used for evaluating and determining the optimal particle size range of the sand prevention gravel; and a research experiment for evaluating the filling sand prevention effect of the selected gravel particle size range under various variables such as production flow rate and sand-carrying concentration can also be carried out.

The invention relates to the technical field of intelligent building integrated management, in particular to an intelligent building integrated management system and method. A data acquisition layer, an edge computing layer, a cloud platform layer and an application layer are integrated through a unified architecture, and compatibility of different sensor data formats and communication protocols is realized by using a protocol conversion unit; a hierarchical decision-making mechanism is adopted, an edge computing layer processes a time delay sensitive task, a cloud platform layer executes resource intensive optimization computing, and data transmission delay and bandwidth occupation are remarkably reduced; introducing a decision engine unit which realizes adaptive learning and dynamic strategy generation based on a depth deterministic strategy gradient algorithm; the BIM data and the real-time sensor data are fused through a digital twin model unit, a building 3D visual model is constructed, and a prediction-based dynamic energy management strategy is generated in combination with an algorithm; and finally, the application layer provides a visual configuration interface unit and an emergency linkage unit, and supports a user to configure a management strategy individually.

The invention discloses a classroom psychological state recognition system based on multi-modal data, particularly relates to the field of image recognition, and is used for solving the problem that an existing classroom monitoring mode cannot effectively capture group emotions and lacks targeted intervention. The method comprises the following steps: detecting and positioning a multi-view video sequence through a target tracking module, extracting a student face image and establishing an identity frame sequence relationship; the emotion recognition module performs expression recognition on the image to generate an emotion intensity time sequence; the emotion analysis module performs time-frequency analysis on the sequence, extracts rhythm frequency and phase parameters and generates a region-level emotion curve according to seat layout aggregation; the drift calculation module calculates the phase difference and the frequency difference between the regions, and constructs a rhythm drift matrix; the propagation visualization module maps the matrix into a space vector field, and generates an emotion propagation path visualization model; and the intervention prompt module completes source positioning and intervention strategy generation based on the model, and realizes classroom psychological state identification and regulation.

According to the smart city 3D map building indoor and outdoor integrated visualization method, based on a Unity rendering engine and a Mapbox map tool, an indoor and outdoor integrated 3D visualization model representation mode divided into a graph layer and a detail layer is researched and developed, 3D visualization is rapidly achieved, a vivid roaming effect is obtained, an environment similar to the real world is formed, and the method is suitable for popularization and application. Therefore, the user can carry out the dynamic interaction operation of the 3D scene. When outdoor roaming is carried out, only terrain, ground feature and building structure models in a visual range are rendered, and the internal structure and details of a building do not need to be loaded. When roaming into a room, a user can see the internal structure, characteristics, indoor real objects and outdoor scenes of the building at the current view angle. The indoor and outdoor integrated 3D visualization not only can carry out dynamic and vivid visual representation on the building on a computer to meet user requirements to the greatest extent, but also promotes research and application of indoor and outdoor integrated positioning and navigation, and promotes indoor intelligent management of the building and development of a digital city.

The invention discloses a multi-field coupling hydrogen storage bottle internal defect three-dimensional reconstruction method and system, and the method comprises the steps: deploying a multi-modal data collection and processing architecture system, and carrying out the collection and processing of multi-source data; a multi-field coupling model is constructed, and mixed strategy directional order reduction solution is carried out; extracting geometric feature data of the conversion defect, and reversely evolving defect parameters; a three-dimensional visual model is generated, and residual life prediction is completed; the reconstruction system comprises a multi-modal data acquisition device, a data processing integration module and a signal line. According to the electromagnetic-acoustic-thermal multi-field coupling inversion model provided by the invention, data modeling is carried out after multi-modal data is processed through a multi-field coupling algorithm, so that full-dimension and high-precision three-dimensional reconstruction of internal defects of the hydrogen storage bottle in a full-use scene is realized, a micro-seepage part can be accurately positioned when leakage occurs in the high-pressure hydrogen storage bottle, and the reliability of the high-pressure hydrogen storage bottle is improved. The detection precision and the response speed are effectively improved, and early warning is carried out in order to prolong the service life of the hydrogen storage bottle and improve the safety.

The invention discloses a footprint image human body attribute automatic inference method based on a multi-modal large model, and relates to the technical field of mode recognition. The inference method comprises the following steps: constructing a CLIP-based footprint image and text analysis multi-modal large model: the model adopts a double-flow network structure, a graphic encoder processes image features, a text encoder processes text features, and cross-modal feature fusion is realized through a feature fusion layer; and constructing a Grad-CAM interpretable visualization model, wherein Grad-CAM is a gradient-based feature visualization technology in deep learning. The gradient of the feature map is output through the calculation model, an attention map is generated, and key areas concerned by the convolutional neural network model during decision making are displayed; the correlation between the footprint image and the human body attribute is deeply discussed, a new multi-modal feature fusion method and model architecture are provided, and the algorithm, the model and the application method thereof formed in the research process also promote the industrial application of the technology.

The present invention discloses a convolutional neural network-based MRI medical image correction method, system, and computer-readable storage medium. The method comprises: obtaining a brain MRI medical image and performing preprocessing; extracting lesion features of lacunar infarction from the preprocessed MRI medical image using a convolutional neural network, and locating the lesion area of the lacunar infarction; performing detail enhancement on the lacunar infarction lesion area, segmenting the lesion area, and optimizing the segmentation result; performing artifact repair on the segmented image, and generating a three-dimensional lesion visualization model based on the repaired image. The present invention can more efficiently and accurately identify the lesion area, improve image quality, and provide an efficient and accurate diagnostic aid for lacunar infarction through multiple processing such as MRI image quality assessment, lesion identification, segmentation, artifact repair, and three-dimensional visualization.

The invention provides an antenna field pattern visual measurement method, device, equipment and medium, and relates to the technical field of electromagnetic field measurement, and the method comprises the steps: constructing a visual model of an antenna according to the geographic coordinate, the measurement radius and the antenna height of the antenna; determining a sampling track on the visual model according to the measurement parameters of the antenna; mapping the sampling track into a geographic track according to a preset track mapping rule; according to the geographical trajectory, generating a route file which can be identified by the unmanned aerial vehicle, so as to control the unmanned aerial vehicle to collect electromagnetic field intensity data along the geographical trajectory; and carrying out combination and image drawing on the electromagnetic field intensity data and the measurement parameters to generate an antenna field pattern image. According to the technical scheme of the embodiment of the invention, the problems of poor visualization effect and low planning operation efficiency can be solved.

The present invention discloses an experimental device and method for studying the wax deposition law in porous media in near-wellbore areas, belonging to the technical field of wax deposition experiments. The experimental device comprises a wax deposition visualization model, a multi-stage temperature control module, a liquid injection and cleaning module, a confining pressure adjustment module, a back pressure control module, a product recovery module and an image acquisition module; a natural core slice with a pore throat structure is simulated by a wax deposition visualization model, a multi-stage temperature control module is used to perform graded local heating to simulate complex formation temperature conditions, a confining pressure adjustment module is used to provide confining pressure, a back pressure control module is used to adjust the model outlet pressure to simulate bottom hole flow pressure, a liquid injection and cleaning module is used to inject crude oil and cleaning fluid therein, and an oil displacement experiment and subsequent cleaning are completed; an image acquisition module and a visualization clamping module are used to intuitively observe the wax deposition process in the model, and the wax crystal phase change process during the experiment is analyzed, and the wax deposition formulas of different parts of the model are used to characterize the step-by-step precipitation law of wax.

The application relates to the field of data processing, in particular to a fish disease monitoring method and system based on feature image recognition. The method comprises the following steps: monitoring the water quality change in a target area in real time through a water quality sensor; collecting fish image information in the target area; performing behavior recognition on the fish image information to obtain fish behavior information of each fish object in the target area; performing lesion recognition on the fish behavior information, the fish image information and the water quality change through a fish lesion recognition model to obtain potential lesion information of each fish object; and generating lesion risk information of each fish object according to the potential lesion information and displaying the lesion risk information in a visual model corresponding to the target water area. The method can realize individualized potential fish lesion recognition for different types of fish, improve the accuracy of fish lesion monitoring, simplify the fish lesion monitoring process and further improve the monitoring efficiency of fish lesions.

A distributed high-fidelity simulation system for large-scale high-speed AUVs based on real disturbance data is proposed. Through a large-scale AUV virtual test vehicle subsystem, the system simulates the motion state of a real large-scale high-speed AUV physical prototype under the interaction of rigid body inertia, gravity, buoyancy, inertial hydrodynamic forces, centripetal force, Coriolis force, drag, thrust, rudder force, and external environmental disturbances. Collision attributes are added to the prototype through a physics engine. The system also utilizes an underwater 3D virtual environment subsystem to render a large-scale underwater environment, build dynamic and static obstacle visualization models, and simulate the generation of realistic ocean currents and wave disturbances with high fidelity. The simulation presents a realistic underwater environment for a large, high-speed AUV. A motion solution subsystem describes the transformation relationships between the fixed coordinate systems of all objects in the underwater virtual environment and solves the motion equations of the large AUV, synchronously updating its pose and velocity states. A data management subsystem manages various data generated during the simulation, supporting write and read data operations, and also manages and coordinates data communication between nodes, supporting receive and send data operations. A visualization subsystem loads and dynamically displays the underwater 3D environment and the large AUV virtual test vehicle model, synchronously updating real-time data curves and visualizing the AUV's motion trajectory.

This invention discloses a sweat microfluidic patch, its visualization model, and its preparation method. The visualization model uses characteristic data related to physiological indices in sweat as input variables to establish a correlation model with the microfluidic patch's scale. This model has advantages such as simple structure, strong compatibility, and easy acquisition of relevant data. The sweat microfluidic patch consists of an adhesion layer, a microfluidic main layer, a scale layer, and an encapsulation layer. Its simple structure requires no external power supply and meets the requirements for rapid detection and accurate reading. The preparation method involves pre-coating pigments and detection reagents onto the microfluidic main layer, and then encapsulating it after the solution has completely dried. This preparation method is simple, has low production costs, requires no additional investment, and is suitable for continuous industrial production.