16 results about "Visual modeling" patented technology

This invention discloses a planning method and system for a hydrogen-containing integrated energy system. The method includes: constructing equipment instance models of various energy types in the system by configuring parameters; wherein the equipment includes electrolyzer equipment; constructing a load model in the system by configuring the load demand of the area to be planned, the load demand supporting configuration at multiple time scales; obtaining the energy price model of the area to be planned and completing the energy price configuration; constructing a system topology by graphically associating the equipment instance models, load models, and energy price models through a visual configuration interface, and configuring constraint rules on the system topology; wherein the constraint rules include start-up and shutdown optimization constraints for the electrolyzer; transforming the system topology with configured constraint rules into a mixed-integer linear programming model and performing optimization to obtain the configuration scheme and operation strategy of each device in the system. This invention solves the problems of insufficient characterization of equipment operating losses and low modeling efficiency in existing planning methods by introducing refined electrolyzer start-up and shutdown constraints and a visual modeling process, thus achieving efficient and accurate planning for hydrogen-containing integrated energy systems.

This invention discloses a SysML-based visual modeling workflow configuration method, comprising the following steps: creating system design stages and sub-stages through a visual interactive interface, and setting operation items for each sub-stage; establishing a dynamic association mapping relationship between operation items and system modeling language model elements based on the semantic association method of the system modeling language, and converting it into an independent configuration file; automatically analyzing the upstream and downstream dependencies of operation items based on the configuration file; monitoring the execution status of each operation item in real time, and dynamically updating the execution status of sub-stages and stages according to the status; automatically providing recommended views and model elements for operation items, and generating design deliverables; automatically performing semantic association analysis of data conflicts; and recording the modification history of model elements for traceability management of design results. This invention provides an efficient, flexible, and traceable modeling workflow configuration method, significantly improving the accuracy and collaboration efficiency in the system design process.

The invention relates to the technical field of visual modeling, in particular to a BIM (Building Information Modeling) and VR (Virtual Reality)-based visual modeling reduction method and equipment for an underground powerhouse of a hydropower station. Determining a curvature incongruous characteristic value according to the difference between the polar angle of each data point in each grid unit and the median of the polar angle interval corresponding to the grid unit; and evaluating the spatial distribution regularity of the curvature anisotropic characteristic values of all the grid units in the region where each cluster is located and the energy distribution in the frequency domain, and determining a comprehensive characteristic value so as to optimize a voxel filtering algorithm, filter the three-dimensional point cloud, and perform visual modeling on the hydropower station underground powerhouse based on the filtered three-dimensional point cloud. According to the method, the problems of detail loss and insufficient simplification are solved through self-adaptive recognition of a fine structure and adjustment of filtering, and the modeling precision and efficiency of the underground powerhouse of the hydropower station are improved.

A method and system for providing enhanced holographic communication is disclosed. Visual modeling data and verbal communication data of a conference participant in a current time frame are obtained as a current sample. The current sample is encoded into a first vector comprising a plurality of states for the current sample as an encoded result. At least one of the plurality of states is updated by inputting the encoded result to a generative artificial intelligent model as a prompt, and the updated plurality of states are obtained as a predicted result. The visual modeling data is then updated based on the predicted result for rendering a three-dimensional (3D) representation of the conference participant in the current time frame or in one or more future time frames.

The application discloses a kind of deep well water level multimode data acquisition internet of things intelligent monitoring system, it is related to data acquisition technical field, the present application includes: deep well water level analysis module, deep well well pipe monitoring module and well pipe fault maintenance module, through the dynamic process of pumping and recovery to collect the physical parameter information of each time point, realize the intelligent analysis of data anomaly index and water level recovery rate, effectively distinguish potential structural abnormal section in well, with high-precision, automated well pipe problem early prediction ability, accurately identify the position of data anomaly in vertical space, and combined with the immersion state and correction model, realize the judgment of deep well structure anomaly, using the slide rail system set in well pipe edge, intelligent robot can accurately arrive data anomaly section, through real-time acoustic scanning and fine three-dimensional visual modeling, improve detection efficiency, reduce the risk of manual participation.

The application relates to the technical field of robot task perception, in particular to a robot operation task fine perception and positioning method based on visual-tactile hybrid modeling, which comprises the following steps: acquiring a task target image of a robot; dividing the task target image into multiple single tactile sweeping areas; acquiring an optimized target single tactile sweeping area and acquiring an rgb image about visual-tactile; extracting an edge contour in the rgb image, and sequentially performing contour splicing and completion to obtain a target edge contour; and acquiring a final contour area of the task target. The method of combining visual modeling with tactile modeling is adopted to realize higher-precision positioning of the task target.

The invention belongs to the technical field of oil and gas field development, and provides a model library construction method based on digital twin injection-production engineering. Comprising the steps of integrating an injection-production engineering physical entity model, reconstructing a physical three-dimensional model of a physical entity, defining attributes of the physical three-dimensional model, embedding a formula algorithm, developing an interface, realizing data interaction and visual modeling, and displaying a production state. Boundary conditions are defined based on the physical three-dimensional model, simulation software is imported to form a simulation model, the accuracy of the simulation model is verified through comparison with actual data, and an interface is constructed for a user to operate and test the injection-production process; packaging to form a directly called engineering application component, a feature engineering component and a tool component supporting knowledge reuse; and integrating a plurality of injection-production engineering optimization algorithms by utilizing an algorithm interface, and constructing a water injection optimization and oil production quantity dynamic regulation and control model in combination with empirical rules and optimal practices of an injection-production process. According to the invention, an injection-production engineering digital twinborn model library which can realize efficient modeling, accurate simulation and optimization and a flexible and extensible system is established.

The present disclosure provides a business model creation method and device, the method comprising: in response to a triggering operation on a modeling control in a visual modeling page, displaying a modeling element area; in response to a configuration operation triggered on each modeling element in the modeling element area in sequence, configuring modeling parameters corresponding to each modeling element based on a target business requirement; in response to the modeling parameters of each modeling element being configured, generating a target modeling process matched with the modeling parameters based on the modeling parameters configured for each modeling element; and running the target modeling process to execute a model construction operation through multiple modeling process nodes to generate a target business model. Thus, the present disclosure reduces the threshold for non-technical users to use machine learning modeling tools, reduces the dependence on feature engineering professional knowledge, and avoids the model failure problem caused by node misconfiguration or process loss in traditional visual modeling, while ensuring model quality and significantly improving modeling efficiency.

The invention relates to a process management system and method, in particular to a complex equipment-oriented intelligent management system and method capable of arranging processes and rules, and aims to solve the problems of high coupling of process control and business rules, coding solidification and the like in the prior art. The system comprises a core service component, the core service component comprises a process model library module and a rule model library module which are used for providing a visual arrangement interface, a process engine module for driving process execution and a rule engine module for executing a rule model, and all the modules are in decoupling connection through message middleware; the database component comprises a relational database and a memory database; and a service middleware component. The method comprises the steps of flow and rule visual modeling and association configuration; performing breakpoint debugging execution of the task process; and the rule engine dynamically generates data or instructions according to the model and interacts. According to the invention, decoupling of processes, rules and execution is realized, and the flexibility, maintainability and test intelligence level of the system are improved.

This invention belongs to the field of 3D modeling technology, specifically relating to a method for structural identification and visualization modeling of underground karst cave systems. The method includes the following steps: Step 1: Moving a data acquisition platform along a preset survey line within the underground karst cave, simultaneously acquiring laser scanning point cloud data and generating a point cloud coordinate system; Step 2: Generating cave structure evidence using an extended polarization reflection path weaving algorithm based on orthogonal dipole full polarization physical separation; Step 3: Generating the cave's implicit surface through variational implicit surface solving: establishing a voxel mesh and constructing an implicit distance field within a unified coordinate system; Step 4: Outputting 3D visualization modeling: performing iso-extraction on the cave's implicit surface to generate a 3D mesh model of the cave, and outputting a 3D geological profile and visualization model. This invention achieves stable identification and highly consistent modeling of complex spatial structures in underground karst caves, significantly improving the accuracy, repeatability, and engineering application value of cave structure interpretation.

This invention discloses a visualization modeling method and system based on artificial intelligence optimization, relating to the field of computer vision technology. The method includes acquiring a 3D scene image and performing semantic segmentation to obtain a scene feature map; extracting depth gradient and texture edge information from the image to construct a spatial feature matrix; calculating a scene description vector; extracting the 3D coordinates of objects from the scene description vector to obtain a position matrix; identifying overlapping areas of objects and projecting them to generate an occlusion depth map, which is then converted into rendering parameters; acquiring camera pose data to generate a viewpoint matrix, which is multiplied by the rendering parameters to obtain a rendering weight map; reconstructing the scene model using the rendering weight map; obtaining the reflection coefficient through ray tracing; calculating the illumination distribution map and overlaying it onto the model surface; and finally constructing a visualized 3D model. This invention enables high-quality visualization reconstruction of 3D scenes.

This invention discloses a visual modeling method based on the PML language in ship design software. Through a natural language interface, it eliminates the need for users to deeply understand the complex operations of professional ship modeling software, significantly reducing technical training costs and lowering the skill threshold for personnel. Using the system developed by this invention, designers can clearly view the complete process logic of model generation and modification, enhancing their understanding of the model construction mechanism, reducing errors caused by unfamiliarity with operations, and effectively improving the accuracy and reliability of the design. By combining parametric models with natural language processing, it achieves automated model generation and intelligent modification, significantly reducing manual operation and improving overall design efficiency. It also shortens model design and modification time, reduces reliance on highly skilled operators, lowers rework costs for design errors, and achieves cost savings and efficiency improvements from multiple dimensions, making it suitable for modern engineering design environments requiring frequent iteration and collaboration.

The application provides a pipeline support and hanger integrated optimization method and system based on a process engine, and the method comprises the following steps: S1, creating or opening at least one optimization project; S2, constructing an optimization process; S3, setting optimization targets and constraint conditions, selecting target parameters to be optimized, and setting hyperparameters of an optimization algorithm; S4, starting automatic execution of the optimization process; S5, in the optimization process, asynchronous signal slot mechanism is used to realize decoupled communication between the optimization algorithm and the interface, and a multi-target dynamic curve diagram is used to draw the convergence trend of each optimization target in real time; S6, after the optimization is completed, multiple candidate schemes are selected, compared with the initial arrangement, the technical rationality of each scheme is comprehensively evaluated, and the optimal scheme is selected. Through the construction of a visual modeling and automatic execution mechanism based on the process engine, the traditional support and hanger optimization process which depends on manual repeated iteration is converted into automatic execution, and full-process closed-loop optimization of analysis, optimization and feedback is realized.

The application discloses a kind of building construction safety intelligent monitoring methods, and the application relates to building construction technical field, it is solved in the process of abnormal investigation, lack of primary and secondary parameter variation trend collaborative analysis mechanism, cannot establish the problem of following benchmark between parameters, the application is accurately refined personalized operation standard of different equipment from historical operation data by the correlation analysis of primary parameter and secondary parameter, combined with the visual modeling mode of survey line value section connection, break the limitation of traditional fixed threshold monitoring;It generates adaptability standard according to the correlation of equipment itself operating parameters, which is suitable for complex operation scene of single equipment and multiple parameters, and can continuously optimize standard accuracy with the accumulation of historical data of equipment operation condition, effectively reduces the problem of false monitoring and missed monitoring caused by standard mismatch, provides reliable benchmark support for subsequent abnormal judgment.

The application provides a natural resource asset accounting method and device based on a model operator, equipment and a medium. The method comprises the following steps: in a visual modeling interface, a plurality of accounting operators are selected from a preset operator library in response to a user drag operation, a data flow direction and a dependency relationship between the operators are configured through a connection line, a natural resource asset accounting model is constructed, and a structured machine-readable model description file is converted; the model description file is submitted to a distributed task execution engine for analysis, an executable task graph is dynamically constructed, an accounting task is executed based on the executable task graph by using a Master-Worker distributed node architecture, and an accounting result of the natural resource asset is generated; and based on the accounting result of the natural resource asset, a natural resource asset balance sheet is automatically filled and generated according to a preset report template and a data association rule, so as to solve the problems of high maintenance cost and poor flexibility of a natural resource asset accounting system caused by the fact that accounting logic is fixed in a code level.