423 results about "Visualization model" patented technology

The invention discloses an MRI medical image correction method and system based on a convolutional neural network and a computer readable storage medium, and the method comprises the steps: obtaining a brain MRI medical image, and carrying out the preprocessing; extracting lesion features of the brain lacuna infarction from the preprocessed MRI medical image through a convolutional neural network, and positioning a lesion area of the brain lacuna infarction; performing detail enhancement on the lesion area of the cerebral lacuna infarction, segmenting the lesion area and optimizing a segmentation result; and carrying out artifact restoration on the segmented image, and generating a three-dimensional focus visualization model based on the restored image. According to the method, through processing in multiple aspects such as quality evaluation, lesion recognition, segmentation, artifact repair and three-dimensional visualization of the MRI image, the lesion area can be recognized more efficiently and accurately, the image quality is improved, and an efficient and accurate brain lacuna infarction diagnosis auxiliary tool is provided.

The invention discloses a building outer wall leakage detection method and system, and belongs to the technical field of wall leakage detection. The method comprises the following steps: acquiring infrared thermal imaging, laser point cloud and multispectral imaging data, and generating a three-dimensional visual model with temperature information after environment temperature compensation correction, three-dimensional modeling and data fusion; and then extracting temperature characteristic parameters to identify an abnormal region, screening a to-be-verified region in combination with the building construction node coincidence degree and geometric parameters, and finally determining a leakage position through comparison of multispectral characteristic extraction and a preset leakage characteristic library. The system realizes full-process automatic detection by applying the method. According to the invention, temperature signal conduction limitation caused by insulation layer obstruction is broken through, the problem of misjudgment caused by a thermal bridge effect is solved through multi-source data fusion and spectral feature analysis, and the precision and reliability of leakage detection are improved.

The invention relates to the technical field of remote sensing image processing, and discloses an agricultural condition remote sensing image change detection method based on time sequence analysis, which comprises the following steps: acquiring an agricultural condition remote sensing image sequence through a multi-temporal remote sensing sensor, and extracting multi-scale fusion features by using a multi-modal data fusion network after registration and radiation correction of a space-time alignment algorithm. The time sequence decomposition model decomposes features, extracts time dynamic change features, and detects an abnormal change area based on an abnormal detection model of a variational auto-encoder. And optimizing the change area by a multi-objective optimization algorithm, and constructing a visual model to generate a high-resolution agricultural condition change distribution diagram. According to the method, multi-sensor data are fused, various algorithms and models are integrated, the problems of data processing, feature analysis, anomaly detection, result presentation and the like in agricultural condition remote sensing image change detection are effectively solved, the detection accuracy and efficiency are improved, and a precise basis is provided for agricultural production management.

The invention relates to the technical field of three-dimensional image reconstruction, in particular to a VR-based three-dimensional reconstruction method and system for textile culture heritage, and the method comprises the steps: obtaining a multi-view image collection sequence of the textile culture heritage, carrying out the geometric topological feature extraction of the multi-view image collection sequence, generating a three-dimensional point cloud geometric model, and carrying out the reconstruction of the three-dimensional point cloud geometric model. Performing multi-resolution texture feature mapping processing on the three-dimensional point cloud geometric model to generate an initial three-dimensional model fusing geometric topological features and multi-resolution texture features; performing dynamic geometric optimization processing on the initial three-dimensional model based on preset VR display parameters to generate a target three-dimensional model after surface continuity correction; and performing dynamic matching processing on the target three-dimensional model and a preset VR interaction algorithm to generate a VR visual model with a multi-dimensional interaction attribute, and transmitting the VR visual model to a VR display terminal to perform three-dimensional space rendering, so that the three-dimensional reconstruction and interaction intelligence degree of the textile culture heritage can be improved in combination with a VR technology.

The invention relates to the technical field of building information modeling, and discloses a parameterized BIM modeling method, which comprises the following steps: step 1, acquiring specific design parameters of a modeling object in a project design requirement, marking key geometric parameters of the object, including length, width, height, volume and material characteristics, and defining units, physical meanings and application ranges of the parameters in a marking process, a basis is provided for subsequent entity model construction; and 2, based on the geometric parameters marked in the step 1, a solid model is constructed through a BIM modeling tool, and the solid model is a visual model with the shape, the size and the position determined through the geometric parameters in a three-dimensional space. The three-dimensional BIM model is dynamically generated and modified by modifying geometric parameters, model construction is more flexible and efficient due to introduction of parameterization logic, automatic adjustment and rapid iteration of the model are achieved, and the reusability of BIM modeling and the design efficiency of the building model are remarkably improved.

The invention relates to the technical field of electrical property detection, and discloses a graphene film surface property detection device, which comprises a data acquisition module used for acquiring electrical property data of the surface of a graphene film through a multi-point array electrode probe; the vector grid modeling module is used for constructing a vector grid model for representing the surface performance of the graphene film according to the electrical characteristic data; the iterative inversion calculation module is used for performing iterative inversion calculation on the vector grid model to determine the surface performance distribution of the graphene film; the parallel optimization fusion module is used for performing parallel processing and optimization fusion on the multi-scale performance data through a distributed computing framework; the three-dimensional visualization module is used for generating a three-dimensional visualization model of the surface performance of the graphene film according to the optimized and fused performance data; the problems of insufficient precision and low efficiency of a traditional detection method in graphene film performance detection are solved.

The invention discloses a water conservancy project construction management system and method based on three-dimensional visualization, and belongs to the technical field of water conservancy projects, and the method specifically comprises the steps: collecting related data of a water conservancy project construction region, carrying out the preprocessing, obtaining first monitoring data, building a three-dimensional digital model of a water conservancy project based on the first monitoring data, and carrying out the construction of the water conservancy project. On the basis of the hydraulic engineering three-dimensional digital model, hydraulic engineering construction risks are evaluated in combination with hydraulic engineering construction historical data, and risk grades are divided and hydraulic engineering construction is dynamically managed according to risk evaluation; on the basis of a three-dimensional visual model, all-around and real-time risk monitoring and evaluation can be carried out on a construction site, through real-time data collection and analysis, potential safety hazards such as geological changes, equipment faults and earthwork collapse can be found in time, early warning and emergency treatment are carried out in advance, and safety accidents are effectively avoided.

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.

A device may include an interface manager configured to implement a build interface, and to build a visual model in response to user operations on the build interface. A device may include a supply chain model creation component configured to determine a supply chain model in response to the visual model. A device may include a supply chain model execution component configured to operate the supply chain model as a digital twin of at least a portion of a physical supply chain, to interpret at least one physical supply chain execution value, and to provide a notification to a user of the supply chain command platform in response to a comparison of the supply chain model and the at least one physical supply chain execution value.

The invention discloses an urban building group energy flexible management digital platform and method, and the method comprises the steps: managing multi-source data through a data layer, including building environment, energy consumption, user willingness and power grid signals; the front-end module constructs a city visual model (CVM) and a building agent component based on an unreal engine, and realizes visual display and interactive operation of the energy system; the CVM covers four layers, namely a basic environment layer, a building layer, a mobile resource layer and an energy infrastructure layer; the building agent component realizes fine management of energy production, consumption, energy storage and power grid supply; the rear-end module is responsible for data processing, logical operation and algorithm execution, real-time data storage, resource scheduling and decision planning; the business function module comprises resource real-time monitoring, demand response management and resource configuration and planning deduction, and meets the requirements of short-term management and long-term planning. According to the invention, multi-scale interaction and refined operation are realized, the management granularity and the visualization effect are improved, and powerful support is provided for flexible management and low-carbon transformation of urban building groups.

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 provides a building change detection method and system based on a multi-source live-action three-dimensional model, and the method comprises the steps: obtaining the triangulation network topology data of a two-stage live-action three-dimensional model in a to-be-detected region, and carrying out the preprocessing and standardization processing; a plane-elevation layered registration technology is adopted for automatic registration, and coordinate unification without manual intervention is achieved; calculating and identifying a three-dimensional change area of the two-stage live-action three-dimensional model by using a spatial index difference, and optimizing the three-dimensional change area by adopting a multi-scale expansion-corrosion combination algorithm; filtering the optimized three-dimensional change area by using three-dimensional feature dual channels, and verifying the real building change; and generating a four-dimensional spatio-temporal result, and outputting a visual model including the elevation change value, the material type and the three-dimensional reconstruction parameters. According to the method, the problem that the subtle change of the building in a large-scale real scene model can be read by a machine is solved, and a high-reliability three-dimensional quantitative analysis tool is provided for urban illegal building monitoring and urban safety management.

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 field of model design, in particular to a dynamo and excel-based cross-software complex model accurate modeling method. The invention discloses a dynamo and excel-based cross-software complex model accurate modeling method. The method is characterized by being implemented according to the following steps in sequence: S1, understanding geometric feature extraction; s2, using a parameterized design tool; s3, carrying out data linkage and parametric modeling; s4, performing data interaction and batch creation; s5, performing three-dimensional visualization on the BIM data based on visual programming software; s6, model conversion and generation; and S7, carrying out cross-software model display based on a visual programming technology. The method is accurate in modeling.

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 digital twinborn-oriented power grid dynamic ontology modeling method and system, relates to the technical field of power grid dynamic ontology, and aims to solve the problem of inaccurate power grid dynamic modeling. According to the invention, through the power grid dynamic model after visualization processing, a worker can see the operation data of the power grid more visually, so that potential problems and risks can be found more easily. Therefore, the staff can make decisions in time and take corresponding measures to guarantee safe and stable operation of the power grid, after the interaction technology is added, the staff can perform interaction operation with the visual model through input equipment such as a mouse and a keyboard, the test result is analyzed by using a data analysis tool, and the test result is analyzed by using the data analysis tool. And error data in the model can be efficiently identified and diagnosed. According to the intelligent method, the accuracy and efficiency of error recognition are improved, and rapid positioning and problem solving are facilitated.

Embodiments are directed to managing visualizations of data. Visualization models and a user profile may be provided such that the visualization models and the user profile may be associated with an organization. A complexity score for the organization may be provided based on one or more characteristics of the organization. A recommendation model may be provided based on the complexity score and a baseline model. The recommendation model may be employed to determine one or more recommended visualization models based on the user profile such that the recommendation model associates each recommended visualization model with a confidence score. The one or more recommended visualization models may be rank ordered based on each associated confidence score. A report that includes a rank ordered list of the one or more recommended visualization models may be provided to a user associated with the user profile.

The invention relates to the technical field of power system demand response, and discloses an interpretable demand response potential evaluation framework and system. Comprising the steps of establishing a data carding and feature extraction model to collect power utilization feature data, constructing a demand response potential prediction model based on the feature data, sequentially inputting the feature data to complete model training, establishing a feature importance visualization model, quantitatively analyzing and displaying a prediction result, updating and iterating the model, and optimizing power utilization scheduling of a power grid. According to the method, the TensorFlow technology is used for carrying out standardization processing on the extracted feature data, the effect of improving the efficiency and accuracy of data processing of a prediction model is achieved, meanwhile, the feature contribution degree is calculated through an interpretability analysis SHAP value, and the causal effect of key variables on potential evaluation is analyzed through a causal inference framework causal forest; and a theoretical data support is provided for power consumption regulation and control of the power grid.

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 three-dimensional visual management system of a photovoltaic energy storage system, which relates to the technical field of data encryption, and comprises the following steps: collecting environmental data in real time, preprocessing the collected environmental data, transmitting the preprocessed environmental data to a central processing unit, and loading a three-dimensional visual model at the same time; a machine learning algorithm is adopted to analyze the environmental data in the central processing unit, establish a prediction model, predict the optimal angle of the photovoltaic panel and generate a performance evaluation report; according to the performance evaluation report, a photovoltaic panel adjustment instruction is generated, the photovoltaic panel is automatically adjusted to the optimal angle, and the latest photovoltaic panel state is reflected in the three-dimensional visualization model; detecting the state of the photovoltaic panel according to the newest state of the photovoltaic panel in the three-dimensional view, positioning a potential problem area, and generating an optimization suggestion; the system can automatically generate a photovoltaic panel adjustment instruction according to a performance evaluation result, realizes automatic angle adjustment, and reflects the latest photovoltaic panel state in real time in a three-dimensional visual interface.

The invention relates to an electric power corridor vegetation management method and system based on a spectral image and a laser point cloud, and the method comprises the steps: collecting laser point cloud data and multi-spectral image data in an electric power corridor through an unmanned plane, and carrying out the fusion through a dynamic nonlinear spectral band selection mechanism, and generating a fusion point cloud containing a vegetation space and spectral features; vegetation features are extracted from the fusion point cloud through a multi-scale image convolutional network, a time sequence is constructed, a growth model is trained by adopting a bidirectional LSTM and a self-attention mechanism, and the growth trend of vegetation is predicted; and comprehensively evaluating the contact risk of the vegetation and the power line by adopting fuzzy logic based on the spatial information and the growth trend of the vegetation, and generating a visual model and an operation and maintenance instruction. According to the visual model and the operation and maintenance instruction generated by the method, the automation and intelligence level of vegetation management of the electric power gallery is remarkably enhanced, the contact risk of vegetation and a power line is effectively reduced, and safe operation of an electric power system is guaranteed.

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 deep learning-based photovoltaic output scene generation method in extreme weather, which comprises the following steps: collecting long-time series meteorological data, inputting a meteorological data preprocessing model, and generating preprocessed meteorological data; inputting the preprocessed meteorological data into an extreme weather event identification model, extracting meteorological features, change trends and lagging features when the extreme weather occurs, and identifying and marking an extreme weather event time period; establishing a mixed scene generation model according to the meteorological characteristics, the change trend and the lagging characteristics of the extreme weather event time period, and generating an extreme weather scene; carrying out dimension reduction visualization and quality evaluation comparison on the generated extreme weather scene and the real extreme weather scene through a multi-stage dimension reduction visualization model, and calculating a correction factor according to a quality evaluation comparison result; and establishing a photovoltaic output scene generation model according to the correction factor, and simulating a photovoltaic output condition in an extreme weather scene. According to the invention, the diversity and verisimilitude of extreme weather scene generation can be improved.

The invention belongs to the technical field of oil and gas field surface engineering CCUS, and discloses a digital twinborn body construction method for a coal-fired flue gas CO2 trapping device. The digital twinborn building method comprises the following steps: collecting static parameters and dynamic parameters of each device in a system A, and building a twinborn space based on an entity system A; constructing a three-dimensional visual model based on the twin space; training and optimizing the three-dimensional visualization model; the three-dimensional visualization model is verified; and according to the verified three-dimensional visual model, pre-judging and regulating and controlling the concentration value of the final captured CO2 in the entity system A in real time. According to the method, the digital twinborn space of the coal-fired flue gas CO2 capturing system A is constructed, dynamic / static data are combined, data exchange and virtual pre-judgment between the digital twinborn space and the entity space are achieved, intelligent sensing and real-time monitoring of the CO2 capturing system A can be accurately achieved, and pre-judgment and analysis of the final captured CO2 concentration value can be accurately achieved.