143 results about "Object model" patented technology

A computing system is disclosed for generating and optimizing schema-conformant object models. The system obtains input data from multiple sources in structured, semi-structured, or unstructured formats and processes the data using parsing logic to derive a structured rule set defining spatial relationships and constraint conditions. The system generates schema-conformant object representations comprising parametric assemblies, applies the constraint conditions using machine-executed resolution logic, and produces candidate object models through iterative modification of spatial components, dimensional parameters, and adjacency relationships. Performance values are computed for the candidate models using quantitative evaluation of spatial efficiency, material usage, and constraint compliance. An optimized object model is selected based on the computed performance values and may be used to generate construction project plans including technical drawings, material specifications, and scheduling instructions.

The invention discloses a household appliance and a control method thereof. The method comprises the following steps: acquiring multi-modal data; analyzing the multi-modal data by using a large language model to obtain an intention result corresponding to the multi-modal data; querying a condition triggering rule and object model information according to the intention result to obtain a target rule; and determining a corresponding intelligent agent based on the intention result and the target rule by using an intelligent agent manager, and allocating a task to the intelligent agent, so that the intelligent agent controls the corresponding household appliance according to the task. By means of the mode, household appliance control with higher flexibility and higher intelligence is achieved.

The invention provides a dynamic human-machine interface generation system for a power conversion device, and the system comprises a configuration file which is used for defining interface elements, attributes and layout rules of an HMI in a structured language; the configuration analysis module is used for reading and analyzing the configuration file and converting the configuration file into a structured object model containing control types, attributes and layout information; the control factory module is connected to the configuration analysis module and is used for dynamically creating a corresponding control instance according to the control type information in the structured object model and injecting the analyzed attribute information into the control instance; the layout engine module is connected to the control factory module and is used for automatically arranging and positioning the control instances according to the layout information in the structured object model; and the rendering output module is connected to the layout engine module and is used for rendering and outputting the interface of which the layout is completed to display equipment. According to the method, diversified HMIs are dynamically generated according to different requirements, and the purpose of improving code quality and development efficiency is achieved.

An apparatus for reconstructing a non-rigid object comprises a depth sensor (204); a processor configured to repeatedly perform the following steps: capturing a point cloud using the depth sensor, wherein a first point cloud is set as a canonical model; estimating a scene flow (403) using the captured point cloud and a previous point cloud; pre-warping the captured point cloud using the estimated scene flow; estimating a deformation parameter of the captured point cloud; warping the pre-warping point cloud using the deformation parameter; merging the warped point cloud into the canonical model. The apparatus enables accurate and stable modeling of non-rigid objects.

A virtual machine (VM) management utility tool may deploy an object model that may persist one or more virtual machine dependencies and relationships. Through a web front-end interface, for example, the VMs may be started in a specific order or re-booted, and the tool automatically determines the additional VMs that need to be re-booted in order to maintain the integrity of the environment. Through the web interface, for example, the object model may be managed, and start-up orders or VM dependencies may be updated. For VMs that may not start under load, the object model may block access to the VM until the VM is fully initialized.

The application provides a method and device for generating a proxy model in a virtual scene, a computer device and a storage medium. The method comprises the following steps: obtaining potential visible set information of a virtual scene and object models in the virtual scene; obtaining a visible bounding box of the object models based on the potential visible set information of the virtual scene; obtaining a model bounding box of the object models; clustering the object models according to the model bounding box and the visible bounding box of the object models to obtain a plurality of target object clusters; generating a visible bounding box of the target object clusters according to the visible bounding box of each object model under the target object clusters; generating a proxy model corresponding to the target object clusters; and determining a model application position point of the proxy model based on the visible bounding box of the target object clusters. The proxy model corresponding to each target object cluster and the application position range thereof are used to reduce DrawCall and game picture loading overhead while ensuring the picture effect of the game picture and avoiding the degradation of the game picture.

The application relates to a data processing method and device based on a configuration management system, computer equipment and a storage medium. The method comprises the following steps: acquiring an object model, an attribute model and a relationship model in the configuration management system; determining a first association relationship between the object model and the attribute model and a second association relationship between the object model and the relationship model based on object coding corresponding to each object; constructing a relationship architecture of the configuration management system based on the first association relationship and the second association relationship; and performing data processing on the configuration management system based on data processing parameters corresponding to a data processing operation and the relationship architecture. Through the above method, data management is directly performed based on the data processing operation, and the data management of the configuration management system is simplified.

The application relates to a construction method for obtaining a viewpoint evaluation object model, and belongs to the field of public opinion analysis. An event abstract text generation model is established, which is used for inputting information text containing event content to obtain event abstract text; a sentence annotation model is established, which is used for inputting viewpoint text for evaluating the event and the event abstract text to obtain a viewpoint with the event abstract text as semantic guidance; wherein the viewpoint is a sentence sequence extracted from the viewpoint text; a viewpoint evaluation object extraction model is established, which is used for inputting the viewpoint and the event abstract text to obtain an evaluation object of the viewpoint; wherein the evaluation object is a word sequence extracted from the event abstract text. The application can accurately obtain a viewpoint with the event as an evaluation object, and improves the analysis performance.

The execution-time reporting of telemetry of execution of a software program includes identifying a software program and accessing an event stream with multiple event entries associated with the software's components. An object model is generated that comprises a hierarchy of objects and properties associated with the events by creating objects for the software's components, including identifiers, properties, and timestamps. When an AI entity is instantiated for use during the software's execution, an AI object is created with an identifier and properties. The AI object is dynamically modified to reflect events associated with the AI entity during operation of the software program. The telemetry associated with the AI entity is reported according to subscriptions for the telemetry sessions.

Automating testing or use of an application under test (AUT) is greatly simplified when domain object model (DOM) information is available. However, DOM information is not always available. Systems and methods are provided wherein graphical elements are identified and converted to computer code. The computer code is applied to a transparent layer and as a user visually interacts with the AUT, the transparent layer identifies the inputs and the root graphical elements. The inputs are then forwarded to the root graphical elements. The inputs and target graphical elements may be recorded and played back (as-is or modified) on the same or different AUT. The playback then allows a specific graphical element to receive a particular input, even if DOM information remains unavailable.

The invention provides a data transmission method and device for a variable-length data class of a high-level architecture standard, and the method comprises the steps: constructing a standard data object of the variable-length data class in an object model template of the high-level architecture standard, and generating a federal standard file; calling a bottom support environment and data length analysis and release operation of a release processing function based on a federal standard file through a data sending end federal member, and releasing transmission data of a variable-length data class to a distributed network; through the data subscription end federation member, the bottom layer supporting environment and the callback function of the variable-length data class are called based on the federation standard file, the transmission data of the variable-length data class are received, direct and efficient transmission of the dynamic length data is achieved, the data bearing flexibility and the operation efficiency of the simulation system are remarkably improved, and the simulation efficiency is improved. The development and maintenance process is simplified through a standardized interface, and the overall expandability of the system is enhanced on the basis of being completely compatible with an existing framework.

Systems, methods, and computer program products for managing and populating environment models are described. An environment model is accessed which represents an environment, and the environment model is populated with instances of object models. Locations where the instances of object models should be positioned in the environment model are identified, by determining where in the environment model a respective size of each instance when viewed from a vantage point at the environment model matches a size of the object represented by the respective instance when viewed from a corresponding vantage point at the environment.

The invention provides a simulation test parameter configuration interface generation method and device based on a Qt platform, and belongs to the field of simulation tests.The method comprises the steps that a multi-level object model is constructed through a preset visual component base class; each level of object in the multi-level object model is determined based on a target simulation test scene, abstract interfaces inherited by each level of object in the multi-level object model are mutually independent, and the abstract interfaces inherited by each level of object inherit a self-visualization component base class; generating object instances of all levels of objects in the multi-level object model by utilizing a predetermined factory module; and calling an interface generation method corresponding to each object instance level by level for the object instance by cyclically traversing the hierarchical structure of the multi-level object model so as to dynamically generate a hierarchical configuration interface corresponding to the target simulation test. According to the simulation test parameter configuration interface generation method and device based on the Qt platform, decoupling of the interface and logic, dynamic expansion of the interface and batch management can be effectively achieved.

The application provides a three-dimensional object detection method, an electronic device and a storage medium. The method comprises the following steps: acquiring a training image; constructing and training a semantic segmentation model to obtain a trained semantic segmentation model; acquiring a detection image and a depth image; inputting the detection image into the trained semantic segmentation model to obtain an object category and an object position; determining an object model from a three-dimensional object model library according to the object category; obtaining point cloud data of the object and a distance from a depth camera to the object model according to the depth image; determining a rotation angle of the object model according to the point cloud data and the object model; and determining a position of the object model in a three-dimensional space according to the distance from the depth camera to the object model, the rotation angle and the position of the object, so as to determine a position of the object in the three-dimensional space. The application can quickly determine the position of the object in the three-dimensional space.

This invention discloses a method and system for automatic extraction and knowledge construction of data quality rules for power equipment, belonging to the fields of artificial intelligence and power data governance technology. To address the problems of low parsing accuracy of complex tables in power technology standard documents, lack of physical constraint verification of extraction results, and catastrophic forgetting of models due to standard updates, this invention utilizes a multimodal large language model to parse documents. A structured document object model is obtained through hierarchical table structure encoding, cross-page context preservation, and semantic binding of table annotations. The large language model, fine-tuned with domain knowledge, extracts entity relationships and performs consistency verification in conjunction with a physical constraint knowledge base in the power domain. The verified entity relationships are assembled into structured quality rule records and stored in a graph database. A differential-adaptive elastic weight consolidation strategy is employed for continuous learning, combined with a human-machine collaborative quality inspection optimization model, achieving high-precision complex table parsing, physical consistency verification, and anti-forgetting continuous learning.

The invention relates to the technical field of military simulation data engineering, and discloses a military simulation-oriented multi-dimensional semantic knowledge graph framework construction method, which comprises the following steps of: analyzing an object model extension component of a high-level system structure to construct a simulation object model increment state sequence, mapping the multi-dimensional coordinates for data distribution management into a discretized grid data routing domain; analyzing a federal protocol session layer log to determine a member connection reliability index, and calibrating a data accessibility index of each grid unit in combination with a grid data routing domain; generating an extended semantic type identifier for the semantic assertion, and constructing a semantic missing tendency evaluation model associated with the extended semantic type identifier and the data accessibility index to calculate a missing risk metric value for the incremental semantic field; and generating a global consistency compensation factor based on the missing risk metric and fusing the global consistency compensation factor with the semantic triple.

A controller (20) estimates an object model (92) obtained by approximating an object (91) as a rectangle from a plurality of reflection points (Q) output from a peripheral detection sensor (11), calculates a point group density from the number of reflection points (Q) included in the object model (92), performs feature point base estimation processing for estimating the movement speed of the object (91) from the movement amounts of the positions of feature points using at least one of the plurality of reflection points (Q) as a feature point when the point group density is equal to or greater than a first threshold value, and calculates a center position (C) of the object model (92) and performs center position base estimation processing for estimating the movement speed of the object (91) from the movement amount of the center position (C) when the point group density is less than the first threshold value.

The execution-time reporting of telemetry of execution of a software program includes identifying a software program and accessing an event stream with multiple event entries associated with the software's components. An object model is generated that comprises a hierarchy of objects and properties associated with the events by creating objects for the software's components, including identifiers, properties, and timestamps. When an AI entity is instantiated for use during the software's execution, an AI object is created with an identifier and properties. The AI object is dynamically modified to reflect events associated with the AI entity during operation of the software program. The telemetry associated with the AI entity is reported according to subscriptions for the telemetry sessions.

The embodiment of the invention provides an alternating current servo system control method, system and device based on an internal model principle and a medium, and belongs to the technical field of motor control. The method comprises the following steps: performing mechanism analysis, system identification and model order reduction processing on the alternating current servo system to obtain a four-order model corresponding to the alternating current servo system; on the basis of the fourth-order model, designing the corresponding optimal state feedback of the AC servo system under a linear quadratic regulator; determining a state observer of the inner ring object model, and determining an optimal observer parameter by using a first LQ criterion function according to the state observer; determining a first state space expression corresponding to the AC servo system according to the optimal state feedback and the optimal observer parameter; and determining a target control parameter corresponding to an optimal controller of the AC servo system according to the first state space expression, so that the AC servo system realizes optimal control according to the target control parameter.

A game settlement method and apparatus, and an electronic device. If a game match ends, a game match result of a first game faction and object models of virtual objects corresponding to the first game faction are displayed in a graphical user interface; in response to a first trigger operation for a target object model, a target game parameter for evaluating the match performance of a target virtual object corresponding to the target object model in the game match is adjusted, and the permission to respond to a second trigger operation is configured for the target object model; and in response to the second trigger operation for the target object model, a target game video of the target virtual object is played in the graphical user interface. In the method, when a game match ends, a game match result and object models of virtual objects in a first game faction are displayed in a graphical user interface, and players can evaluate the performance of the virtual objects in the game match by triggering the object models, so as to view game videos of the virtual objects during a game process after the evaluation is completed. (FIG. 1)

The embodiment of the present disclosure discloses a product BOM structure-based relationship modeling management method, device and system, the method comprises: importing product design data generated from a product design tool, extracting type information of each component in the product design and relationship information between each component; defining related information of a plurality of object models, which is used for structured representation of each component type of the product, contained attributes, and a life cycle of each component type and a life cycle state thereof, and defining an entity storage structure based on the related information of the object models for structured storage of product data; defining related information of a relationship model between the plurality of object models; based on the related information of the object models and the related information of the relationship model, creating a page model using a visual what-you-see-is-what-you-get page modeling tool, the page model being used for showing related information of business data generated by the object models and the relationship model.

The embodiment of the invention relates to the technical field of robots, in particular to a hand-object interaction data quality verification system. The system comprises a data preprocessing module which is configured to process collected dynamic interaction data into target interaction data when an operator wears a data glove to grab an object; the physical scene construction module is configured to construct an interaction scene of the hand model and the object model by using the target interaction data based on the simulation engine; the simulation replay module is configured to control the hand model and the object model to perform simulation replay on the target interaction data to obtain physical verification information; and the quality verification module is configured to verify the physical verification information based on multiple verification rules and determine abnormal interaction data. According to the embodiment of the invention, the interaction process is reproduced in the simulation environment, so that the physical anomaly which is difficult to perceive by naked eyes or cannot be judged by a traditional algorithm can be detected, the physical rationality of interaction data is ensured, and the reliability of related data research and application results is improved.

Embodiments of the present application disclose an object rendering method and device, equipment and a storage medium, belonging to the technical field of computer, the method comprises: obtaining a model corresponding to an object, the model is used to represent the shape of a primitive in the object and the spatial position of the primitive, and the object has a visual characteristic of allowing part of light to pass through; determining the circumcircle center position of the primitive based on a vertex set corresponding to the primitive in the model; determining the spatial position relationship of at least two primitives based on the circumcircle center positions of the at least two primitives; and rendering the object model according to the rendering order of the at least two primitives determined based on the spatial position relationship, to obtain a rendering result of the object. The present application realizes the consideration of semi-transparent object rendering precision and performance overhead.

The invention provides an indoor simulation method, device and equipment for a floor mopping robot and a storage medium, and relates to the technical field of artificial intelligence, a 3D asset library for the floor mopping robot is constructed, and the 3D asset library comprises a plurality of 3D object models related to tasks of the floor mopping robot; placing the 3D object model in an indoor scene model according to an autoregressive placement strategy, and generating the indoor scene model with related assets of the sweeping robot; generating a structured task instruction set based on the indoor scene model; and in the indoor scene model, the sweeping robot is simulated based on the structured task instruction set, and a high-authenticity simulation environment is automatically generated, so that the pain point problems of high real data acquisition cost, high privacy risk and insufficient long-tail scene coverage in research and development of the sweeping robot are solved, and the research and development efficiency of the sweeping robot is improved. And a basis is provided for extensible, controllable and semantically meaningful entity simulation in the research of the sweeping robot.

The invention provides a three-dimensional scene construction method and device, electronic equipment, a storage medium and a product, and the method comprises the steps: carrying out the scene understanding of a three-dimensional scene, and obtaining the image information and text information of a plurality of object model nodes; performing feature extraction on the image information and the text information of each object model node to obtain a vector matrix of each object model node; based on the similarity between the vector matrixes of any two object model nodes, performing clustering analysis on the object model nodes to obtain a plurality of clusters; and for each cluster, on the basis of the physical attributes of the target object model nodes with the physical attribute characteristics in the cluster, speculating the physical attributes of other physical model nodes without the physical attribute characteristics so as to complete three-dimensional scene construction. According to the method, the physical attributes of other object model nodes without physical attributes can be accurately speculated, and the method is used for a robot simulation platform application scene in which large-scale object models with physical attributes are needed to carry out operation interactive simulation.

A path generator includes an object setter that sets an object model; a device setter that sets a device model as a model of a robot arm; a path generator that generates a path of the robot arm stepwise; and an interference determiner that performs interference determination on the object model and the device model after having moved along the path, based on a distance between the object model and the device model. If it is determined that there is a possibility of interference between the object model and the device model, at least one of the object setter or the device setter increases a density of point groups of the point group model, and performs interference determination by using the point group model with the increased density of the point groups. If determined that that there is no possibility of interference, the path generator generates a next path.

This invention relates to the field of smart meter technology, specifically a method and system for big data AI analysis and control of quality in the manufacturing process of electricity meters. The method includes: collecting quality-related data; performing field mapping, object binding, standardization conversion, missing data completion and anomaly filtering, and version association; constructing a unified quality object model; invoking a key indicator statistics engine, a rule-based early warning engine, an AI anomaly identification engine, a multi-dimensional difference analysis engine, and an order quality evaluation engine; fusing and calculating the results from each engine to generate a comprehensive risk value and risk level; triggering meter locking, process interception, stricter testing, equipment inspection, and quality closed-loop actions based on the risk level; and writing back retesting, rework, repair, factory release, and after-sales feedback to the quality data warehouse to update the experience base and optimize subsequent strategies. This invention achieves real-time analysis of quality data, anomaly early warning, intelligent decision-making, rapid traceability, and in-process interception throughout the entire electricity meter manufacturing process.

The application provides a kind of workflow application management method and system for containerization environment, it is related to computer technology field.The method includes the following steps, the structured front-end object model is converted to by visual workflow model construction module with the drag operation of user;Front-end object model is serialized as JSON format file by static logic inspection;JSON format file is sent into template engine by templating code generation module;JSON format file is automatically converted into executable workflow drive file by template engine.The application solves the prior art workflow system usually adopts static script or fixed template to arrange task, realizes the automatic conversion from workflow design to execution code generation by visual workflow model construction module and templating code generation module, reduces the technical threshold of complex workflow construction, improves system development efficiency.

Implementations relate to methods, systems, and computer-readable media for performing similarity analysis of three-dimensional (3D) objects. In some implementations, the method includes obtaining a 3D model of the object that includes a mesh and a texture, encoding the mesh into a mesh feature vector using a first neural network, encoding the texture into a texture feature vector using a second neural network, computing a mesh distance between the mesh feature vector and a reference mesh feature vector of a reference object, computing a texture distance between the texture feature vector and a reference texture feature vector of the reference object, determining, based on the mesh distance and the texture distance, whether the object matches the reference object, classifying the object as a dissimilar object if the object does not match the reference object, and classifying the object as a similar object if the object matches the reference object.