219 results about "Entity model" patented technology

The invention discloses an intelligent construction method, system, equipment and medium based on a digital twin tunnel, and aims to construct a high-precision physical entity model by fusing dynamic and static data in real time through multiple types of sensors so as to improve data acquisition comprehensiveness; based on tunnel-level, soil-level and ground building-level multi-level modeling and finite element analysis, fine mechanical stability simulation is realized; multi-dimensional data features are extracted by combining a convolutional neural network algorithm, security risks are evaluated, and a reinforcement scheme is optimized through dynamic iteration; a closed-loop regulation and control mechanism of data monitoring, numerical simulation and dynamic feedback is formed by utilizing a collaborative architecture of a sensing layer, a simulation layer and a display layer, so that environmental disturbance is effectively reduced, and construction safety is guaranteed; according to the method, digital twinning, BIM, finite element analysis and deep learning are fused, real-time monitoring and intelligent optimization of the whole construction process are achieved, efficiency and safety are remarkably improved, and influences on the surrounding environment are reduced.

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 discloses a grid model and entity model fusion method, computer equipment and a storage medium. The method comprises the steps of data preprocessing, data conversion and data fusion. Performing data cleaning, topological repair and geometric optimization on the grid model to obtain first model data, and performing closure repair, connectivity repair and redundant element cleaning on the entity model to obtain second model data; converting the first model data and the second model data into a grid-entity hybrid model Sa and a grid-entity hybrid model Sb; and performing data fusion on the grid-entity hybrid model Sa and the grid-entity hybrid model Sb through bounding box detection, model intersection, connection of intersection edges into rings, combination of the rings into surfaces and enclosing of the surfaces into a body, and rendering the fused data to obtain the grid-entity hybrid model. The method has the advantages that the grid and the entity heterogeneous model are effectively fused, and the grid structure and the entity structure can be displayed at the same time after rendering.

The present disclosure provides systems and methods performed in a central system. An initial entity model comprising a plurality of artefacts is formed. A runtime engine determines a plurality of available agent engagements based on the initial entity model. Responsive to an input selecting one of the available agent engagements, a notification is sent to an external autonomous agent. An indication of an action to be performed is received from the external autonomous agent. Responsive thereto, a message is sent to an external service indicating the action, thereby causing the action to be performed. The entity model is updated with a new artefact corresponding to the performed action, and a further plurality of agent actions is determined based on the updated entity model.

The invention relates to the technical field of chemical enterprise production management, in particular to a chemical enterprise safety production informatization management system which comprises a sensing network layer architecture, a digital twin management platform, a risk management and control and decision center, a process closed-loop management center and an emergency cooperative processing platform. According to the chemical enterprise safety production informatization management system and method, through construction of a chemical knowledge graph, on the basis of a dynamic risk matrix and an AI prediction model library, equipment remaining service life prediction, process tiny anomaly capture and accident consequence simulation processing are realized; meanwhile, a root cause analysis module is used for associating low-level alarm and traversing a knowledge graph to automatically infer a fault root, physical equipment and a virtual model are bound through an entity-model mapping engine, the model state is dynamically updated in combination with a real-time rendering technology, and technological parameter optimization, accident deduction and scheme verification can be completed in an analogue simulation engine; and the management intuition and the decision-making scientificity are effectively improved.

An apparatus and method (200) for defining a semantic framework for a plurality of entities in a computer simulated environment. The method (200) includes receiving data from one or more data acquisition devices (104), translating, the data into one or more executable queries to extract data relating to the one or more elements from the knowledge database (106). The method (200) further includes assembling an entity model with one or more elements identified from the CNL data, each element operationalized using a model ontology and instantiating each element in the entity model using a plurality of instances for each element in the entity model to generate a semantic binding among the plurality of elements. Furthermore, the method (200) includes transforming the semantic binding into a knowledge graph using standard graph databases and translating the semantic description from the knowledge graph into an executable configuration for the metaverse.

The invention relates to the field of computer graphics, reverse engineering and additive manufacturing, discloses a multi-modal fusion and physical constraint three-dimensional point cloud geometric modeling system and method, and aims at overcoming the defects that traditional three-dimensional reconstruction entity attributes are missing, key features are prone to being lost, semantic understanding does not exist, and process automation is low. The system comprises a point cloud preprocessing module, a semantic segmentation and recognition module, a mixed geometric reconstruction module, a multi-component assembly and physical constraint solution module and an entity model output module. The method comprises the following steps: denoising and sampling an original point cloud, realizing semantic and instance double segmentation through a Point Net + + network, endowing a geometry-function composite label, completing hybrid reconstruction through improved Poisson reconstruction, parameterized B-Rep fitting and standard component library matching, and outputting a multi-format engineering available model after physical constraint verification and automatic correction of a violation model. According to the method, automatic, high-fidelity and high-practicability conversion from the point cloud to the engineering-level entity model is realized, and the method is adaptive to multiple industrial application scenes.

The invention discloses an entity three-dimensional model-based plate intelligent optimization typesetting method and system. The method comprises the following steps of: receiving each original plate parameter and each plate parameter corresponding to a first entity; setting a discharge forbidding area according to the vertex coordinates of the defective rectangular area of the original plate; adopting a first typesetting algorithm to sequentially fill and typeset the plurality of plates in the original plate from the reference point to obtain a preliminary typesetting of the original plate; obtaining an available gap area according to the initial typesetting of the original plate; carrying out gap filling on the remaining plates to the available gap area to obtain the final layout of the original plates; repeating the steps to obtain final typesetting of each original board, and obtaining a complete typesetting scheme according to each final typesetting; evaluating the complete typesetting scheme through a first evaluation objective function to obtain a first evaluation result; and outputting the complete typesetting scheme with the first evaluation result meeting the requirement according to the requirement. The typesetting calculation complexity is reduced, and the material utilization rate is improved.

A computing system for simulating allocation of resources to a plurality of entities is disclosed. The computing system can be configured to input an entity profile that describes a preference and / or demand of a simulated entity into a reinforcement learning agent model and receive, as an output of the reinforcement learning agent model, an allocation output that describes a resource allocation for the simulated entity. The computing system can select one or more resources based on the resource allocation described by the allocation output and provide the resource(s) to an entity model that is configured to simulate a simulated response output that describes a response of the simulated entity. The computing system can receive, as an output of the entity model, the simulated response output and update a resource profile that describes the at least one resource and / or the entity profile based on the simulated response output.

The invention relates to the technical field of geological three-dimensional modeling, and discloses a mineral reserve estimation modeling method, system and equipment for optimizing block division. The method comprises the following steps: delineating an ore body according to imported drilling data, and establishing an entity model for estimating the ore body; block division is carried out on the entity model based on earth grid division or space grid division; converting the drilling data into block data according to the size of block division, and carrying out statistics on the block data to obtain a data distribution characteristic graph; calculating a variation function based on the data distribution characteristic graph and performing cross validation; and estimating according to the variation function and the block data, and outputting a resource reserve estimation report. Earth grid division is introduced, and during block division, longitude and latitude reference earth grid division and space grid division adopting a digital storage octree index can be selected, so that the storage speed is increased, the memory space is saved, the method adapts to multi-scale index transformation, data integration sharing and hierarchical management are facilitated, and the efficiency is improved. And rapid construction of the ore body and block subdivision storage are realized.

The invention relates to a power load spatio-temporal dynamic knowledge graph construction and load prediction method, which comprises the following steps of: constructing a text and digital sequence hybrid vector coding module, providing a hierarchical entity relationship joint extraction framework oriented to power system load data, constructing a Multi-Encoder-Bi-GRU-CRF power load entity recognition model, and constructing a power load entity model. Constructing a power load spatio-temporal dynamic knowledge graph in combination with a predefined relation rule base; meanwhile, time-space sub-graphs are divided, a space-time coupling self-adaptive adjacency matrix is constructed, and the space-time dependency relationship between nodes is quantified; and finally, combining the knowledge graph node embedded vector and the adjacency relation embedded vector, and jointly extracting the spatial feature and the time feature of the power load by adopting a space-time diagram convolutional neural network. Therefore, the load prediction algorithm provided by the invention not only can give full play to the advantages of multi-modal semantic integration and space-time modeling capability of the knowledge graph, but also can improve the load prediction precision, assist in realizing refined energy management of the power system and assist in making an optimal scheduling strategy, and has a good engineering application prospect.

The invention discloses a coal mine robot cluster-oriented virtual entity synchronous mapping method. The method comprises the following steps of: constructing a virtual entity synchronous mapping system consisting of a coal mine robot cluster physical entity, a coal mine robot cluster virtual entity, coal mine robot cluster twin data, cluster service application and information interaction; a coal mine robot cluster is used as a physical entity object, an OPC UA communication protocol is used for data collection, the collected data is processed, a virtual entity is driven in a script mode based on a Unity 3D physical engine, and therefore a virtual-real mapping channel is established; converting various non-standardized data structures of the robot cluster into standardized data structures; data of the heterogeneous robot are collected and transmitted through standardization of various communication protocols, and the data are used for driving the virtual entity model. The method has the advantage of performing synchronous mapping on the virtual entities so as to facilitate intelligent management and control.

The invention provides a method for querying geometric elements in different geometric modeling engines and a related product, and the method comprises the steps: responding to a first user operation, and determining a target positioning UV parameter point coordinate in a UV parameterization plane; determining target geometric elements from the entity model according to the coordinates of the target positioning UV parameter points; and determining a target geometric modeling engine of the currently loaded entity model, and determining target identification information of the target geometric element in the target geometric modeling engine. According to the geometric modeling method and device, a user can select the points near the geometric elements needing to be operated by operating the interactive interface and map the points to the corresponding geometric elements through the coordinates corresponding to the points, so that the situation that the geometric modeling efficiency is greatly improved due to different identification modes in different geometric modeling engines can be avoided. And the problems of narrow use case application range, non-visual query result and the like existing in querying the geometric elements by using the ID are solved.

The invention belongs to the technical field of construction scheme design, and discloses a construction scheme pre-design system and method based on an AI virtual technology. Comprising the steps of obtaining building drawing data, building engineering project requirement text data and historical construction data, and analyzing the building engineering project requirement text data to obtain building engineering construction requirements; pre-selecting a construction scheme of the constructional engineering according to the constructional engineering construction requirements, the constructional drawing data and the historical construction data, creating a three-dimensional entity model of the constructional engineering according to the constructional drawing data, and simulating the construction operation process of the constructional engineering according to the pre-selected construction scheme of the constructional engineering and the three-dimensional entity model of the constructional engineering; performing risk detection in the simulated construction operation process of the building engineering; performing optimization adjustment according to a risk detection result; and the reasonability of pre-design of the construction scheme is further improved, so that the construction speed of the building engineering is increased, and the construction cost of the building engineering is reduced.

The invention provides a method and equipment for creating a three-dimensional welding seam model, and relates to the technical field of rail transit equipment.The method comprises the steps that according to geometric feature data of all first-level parts in an assembly model, the positions of welding seams between the first-level parts are recognized; creating a parameterized three-dimensional welding seam entity model at each welding seam position according to the parameterized correlation formula and the welding seam feature data corresponding to the welding seam position; the parameterized correlation formula is a correlation formula between a weld size parameter and a corresponding parent part size parameter; according to the three-dimensional welding seam entity model and the welding seam feature data, generating a corresponding welding seam marking symbol in the target welding seam view; and creating and inserting a welding seam part corresponding to the three-dimensional welding seam solid model in the assembly structure tree of the assembly body model. According to the method, automatic collaborative updating during design change and unified management of welding design data are achieved through a parameterization association mechanism, and the quality and efficiency of welding seam design are effectively improved.

The invention relates to the technical field of deduction engines, in particular to a distributed joint combat deduction engine architecture based on multi-agent reinforcement learning, which comprises a data processing layer capable of acquiring target area environment data, entity historical state data and trust data, target area environment data and entity historical state data are processed through a distributed computing framework, and original trust vectors are generated through trust data; the simulation engine layer can perform environment modeling and entity modeling through an entity modeling engine and an environment simulation engine; carrying out credibility dynamic modeling based on the historical behaviors of the intelligent agent; the joint command layer can coordinate and dispatch a target environment entity and environment resources through a coordination engine according to a preset command scheme, and performs cross-domain trust conduction; and the analysis and evaluation layer can deduce and restore in real time, predict the situation of the target area and evaluate the robustness of the command scheme.

The invention discloses an equipment thermal fluid simulation method and device, equipment and a medium, and the method comprises the steps that an open document submitted by a user is analyzed, the open document comprises a plurality of page units, and equipment configuration data and simulation task data are provided through the page units; updating a three-dimensional body mesh model in a simulation framework into an equipment entity model according to the equipment configuration data; calling a solver in a simulation framework according to the simulation task data to determine fluid simulation result data of the equipment entity model; and displaying corresponding simulation effect information on a graphical user interface according to the simulation result data. According to the method and the device, the open document submitted by the user is automatically analyzed, so that the dependence on professionals is reduced, and the simulation efficiency is remarkably improved.

The invention discloses an information knowledge extraction method based on a power system, a controller and a storage medium. The method comprises the following steps: reading non-structural data of an information document of the power system; performing data cleaning on the non-structural data to obtain power system data elements; preprocessing the data elements of the power system to obtain segmented words, and correcting the segmented words by adopting a reverse maximum matching algorithm; based on a standard power system metadatabase, according to the construction direction of a power system, a data meta-information and entity extraction rule is established, and device entity category candidate word extraction is achieved; identifying and filtering the equipment entity category candidate words to obtain high-frequency nouns; performing entity joint extraction on the equipment entity model candidate words to obtain confidence high-frequency vocabularies; generating equipment entity category and model labels according to the high-frequency nouns and the vocabularies with the highest confidence coefficient, and storing the equipment entity category and model labels into an index; and outputting equipment entity knowledge according to the leading rope. According to the method, the entity identification accuracy of the power system data element naming equipment is improved.

The invention relates to a CGF-oriented typical normal form behavior model conversion method and device. The method comprises the following steps: receiving a conversion instruction input by a user; when a first conversion instruction is received, adopting a preset first conversion algorithm to respectively map each task flow of the finite-state machine and a state and transfer relationship in each task flow into a sub-tree of a behavior tree and a hierarchical node structure of each sub-tree, and outputting a behavior tree description file; when a second conversion instruction is received, disassembling the tree structure of the behavior tree into a state transition network of a finite-state machine by adopting a preset second conversion algorithm, and outputting a finite-state machine description file; and according to the description file output after receiving the conversion instruction, generating a corresponding code framework and integrating the code framework to a CGF simulation platform to output a deployable CGF entity model file. By adopting the method, the efficiency, reusability and application flexibility of CGF modeling can be improved.

The invention discloses a generative model and digital twinborn fusion aerospace equipment structure reliability test method, which comprises the following steps of: firstly, establishing a physical entity model of aerospace equipment, installing a sensor at a key position of the physical entity model, and acquiring stress, strain and vibration data of the equipment in real time; secondly, establishing a digital twinborn model corresponding to a physical entity, and determining a load-response relationship of equipment; processing the actually acquired data to form a standardized load-response data set; establishing and training a probability mapping relation between load and response by utilizing a diffusion generation model, and realizing the generation of equipment response data; then defining a limit state function of reliability analysis of the equipment structure, and carrying out reliability simulation evaluation to obtain a failure probability and a reliability index of the equipment structure; and finally, acquiring equipment operation response data in real time, and dynamically updating parameters of the diffusion generation model and the digital twin model. According to the invention, the accuracy and efficiency of aerospace equipment structure reliability testing are effectively improved.

The invention discloses a point cloud digital service system and method based on digital twinning, and belongs to the field of digital twinning, and the system comprises an entity model construction module, a fusion updating module, a semantic segmentation labeling module, a digital interface construction module and a feedback optimization module. By constructing the user interaction behavior portrait and the service calling feature vector, accurate modeling of different user use preferences and model operation modes is realized, a point cloud processing algorithm can be differentially optimized according to individual requirements, and the processing precision and the user experience are remarkably improved. A federated learning mechanism is introduced, each edge device completes training and parameter updating of a point cloud processing model locally, only the model weight difference is uploaded, and original user data is not involved, so that cross-terminal joint optimization is realized while privacy security is guaranteed.

The invention discloses an earth and rockfill dam heaping period monitoring scheme optimization method and an earth and rockfill dam heaping period monitoring scheme optimization system based on deformation inclination control, and belongs to the technical field of earth and rockfill dam construction monitoring. A three-dimensional solid model covering the whole heap building process is constructed, and grids are encrypted for key parts such as a core wall, a transition layer, a dam slope and a dam foundation weak interlayer; dividing independent working conditions by taking a layering and filling sequence as a unit, carrying out step-by-step numerical simulation to obtain a displacement field, respectively calculating dam axial deformation inclination and river-following deformation inclination, and generating a cloud picture; determining a key monitoring area according to a criterion that the deformation inclination is greater than or equal to m%, the previous step variation is greater than or equal to a% and a key structure is forcibly incorporated, and laying settlement monitoring points and inclination measuring holes to form a dynamic monitoring table; and when the actually measured deformation inclination exceeds the simulation value b%, verifying the model, reducing the subsequent threshold value n%, and improving the monitoring frequency.

The present invention discloses a method, device, and storage medium for intelligently generating a three-dimensional cast steel node entity model. The method for intelligently generating a three-dimensional cast steel node entity model comprises the following steps: (1) generating a topologically optimized structure of a three-dimensional cast steel node; (2) using the topologically optimized structure of the three-dimensional cast steel node to create a training set for intelligently generating a three-dimensional cast steel node model; (3) importing the training set obtained in step (2) into a three-dimensional generative adversarial network to generate a three-dimensional cast steel node model and performing visualization processing on the model; (4) performing entity and splicing processing on the visualized three-dimensional cast steel node model. This method can solve the problems of insufficient video memory of the computer during editing operations in the process of generating a three-dimensional cast steel node entity model using a computer, insufficient surface smoothness of the generated three-dimensional cast steel node entity model, and lack of complete properties of the entity model.

The application discloses a kind of underground mine three-dimensional entity model establishing method, device and medium.The method includes: S1, AutoCAD software imports two-dimensional drawing, and drawing is divided into different layers according to mining middle section;S2, clean up invalid graphics;S3, conversion line type, clean up layer;S4, process middle section broken line, closed loop;S5, target middle section DXF file is imported into GEOVIA Surpac software, generates str file;S6, adjust point elevation and line segment slope, generate floor str file;S7, adjust floor str file, generate top surface str file;S8, create floor and roof DTM model;S9, close bottom surface and top surface DTM model, form target middle section three-dimensional entity model;S10, combination forms overall three-dimensional entity model.The application makes full use of AutoCAD software to quickly process two-dimensional drawing on the advantages of messy point, redundant line and control layer, combined with GEOVIA Surpac software three-dimensional space modeling technology, improve the efficiency of two-dimensional plane figure to establish complex three-dimensional entity model.

The application is a mapping relationship model construction method suitable for aero-engine production line simulation, comprising: analyzing the composition and structure of physical entities in the production line to complete geometric modeling of entity models, completing information modeling of entity models according to data information of the production line, and completing behavior modeling of entity models through kinematic analysis of the physical entities; classifying the equipment of the production line according to purposes, and building an aero-engine mechanical machining production line model library; building a production line simulation model according to a two-dimensional CAD layout diagram of an actual production line; decomposing the operation actions of the equipment and personnel at the workstation level according to production tasks, setting mechanical movement processes of moving objects in the production line simulation model; defining the production logic control of the production line, classifying the production logic, and compiling corresponding logic control simulation programs; simulating the production process of the production line, and evaluating the performance of the production line according to production line operation simulation data.

The invention relates to the technical field of practical training system construction, and discloses an immersive virtual nursing practical training system construction method based on a meta-universe platform, and the method comprises the steps: carrying out the layered construction of a scene, and building an environment layer, an interaction layer and a data layer on the meta-universe platform; generating a dynamic learning guiding system, constructing a knowledge graph case library and a virtual tutor, and realizing adaptive training path planning; virtual-real fusion operation training is carried out, and accurate mapping of a virtual instruction and an entity model is realized by using an AR technology; and performing multi-dimensional skill evaluation, collecting user operation data, and constructing an evaluation model for scoring. Compared with a traditional practical training mode, the operation proficiency of trainees is improved, and the coping capacity of complex situations is improved.

The invention discloses a pipeline geographic entity conversion production method, system, equipment and medium, and the method comprises the steps: S1, designing a pipeline geographic entity model which is used for stipulating a unified format of a converted pipeline geographic entity; s2, the comprehensive pipeline data are expressed as primitives, the comprehensive pipeline primitives comprise pipe point primitives and pipeline primitives, and the pipe point primitives are divided into entity primitives and drawing primitives; primitives of the integrated pipeline data are coded into primitive codes for associating the integrated pipeline primitives with pipeline geographic entities; s3, traversing the pipe point primitives, judging whether the pipe point primitives are entity primitives or not, if yes, generating pipe point entities based on the entity primitives, and if not, not processing in the step and waiting for participating in pipeline entity conversion in the step S4; and S4, traversing the pipeline primitives, and performing pipeline entity conversion. According to the invention, automatic upgrade conversion from the integrated pipeline data to the pipeline geographic entity data is realized.

A method implemented by a data processing system for automatically detecting a change in entities of a first entity class, and, in response to the detecting, generating a notification specifying that a change relating to a second entity class has been detected, including: storing an entity model for entity classes; determining that a notification is to be generated upon detection of a change to entities of a first entity class of the entity model, the notification specifying that the detected change relates to a second entity class; detecting a change to an entity of the first entity class; responsive to the change, traversing edges of the entity model to identify a node representing an entity of the second entity class related to another node representing the entity of the first entity class; generating the notification for the entity of the second entity class; and storing the notification for transmission.

The present invention provides a training method, device, terminal and storage medium for a named entity model. The training method of the named entity model includes: obtaining a training data set; performing label prediction on second text data through a first model to obtain second text data with pseudo-labels; performing entity prediction on first text data and second text data respectively through a second model to obtain prediction labels corresponding to the first text data and the second text data respectively; iteratively training the second model based on the error value between the prediction label and the annotation information of the same first text data and the error value between the prediction label and the pseudo-label of the same second text data; performing momentum update on the model parameters of the first model based on the model parameters of the trained second model, and using the trained first model as the named entity model. In this application, the two models correct each other, which can effectively alleviate the noise problem of pseudo-labels and improve the recognition accuracy of the model.

The application provides a 3D printing method, an entity model and a filling template corresponding to a to-be-printed model are acquired. The filling template comprises m layers of filling bitmaps stacked with each other, and the sizes of the filling bitmaps are all the same. The entity model is sliced to obtain N layers of model slice bitmaps, and the thicknesses of the model slice bitmaps and the thicknesses of the filling bitmaps are all the same. The N layers of model slice bitmaps are filled based on the filling template to obtain a target bitmap corresponding to each layer of model slice bitmap in the N layers of model slice bitmaps, wherein the fth layer of filling bitmap is used for filling the x*m+fth layer of model slice bitmap, x is a positive integer greater than or equal to 0, and f is a positive integer greater than or equal to 0 and less than or equal to m. The target bitmap set is obtained based on the target bitmap corresponding to each layer of model slice bitmap. The to-be-printed model is printed based on the target bitmap set, the data storage amount and the calculation complexity of 3D printing can be reduced, and the printing efficiency of a large-size high-resolution 3D model can be improved.