14 results about "Dynamic field" patented technology

Embodiments provide techniques for emitting structured and dynamic fields from an accelerated data model. The method comprises evaluating a query to search a data model, wherein the data model is defined by a set of events and at least one structured field from fields associated with the set of events. A summarization table is associated with the data model and comprises a plurality of entries comprising reference values, wherein a respective summarization table entry comprises: the at least one structured field; a respective field value; and a reference value. The method further comprises accessing the set of events from the field searchable data store using the reference values in the summarization table and annotating the set of events with the at least one structured field and with at least one dynamic field from the fields associated with the set of events.

The application relates to the technical field of satellite data processing, and provides a satellite data simulation generation method, system, medium and equipment, which comprises the following steps: parsing an XML configuration file used for defining satellite transmission frames, virtual channel data units, user frames / space packets and load fields to obtain a memory protocol object tree; recursively traversing the memory protocol object tree according to an output period to generate data frames of each layer, writing a configuration value into a fixed value field, increasing a count field by a step, converting a time field into a time code specified by a satellite protocol, continuously intercepting real load data according to a file offset modulo and a tail wrap mode for an external data field, recursively assembling a nested subframe after inheriting a parent frame context, and performing length alignment, check sum output. The protocol structure, dynamic fields and real load injection rules of satellite simulation data are configured, which is different from a scheme only facing communication coding and decoding or protocol packet assembly and analysis, and can generate continuous and high-fidelity satellite simulation data streams.

This invention discloses a method and system for dynamically visualizing topic numerical fields based on the ROS2 system. It enumerates all active topics in the ROS2 system; performs static field recursive parsing on the message type of the user-selected topic to obtain a set of candidate numerical field paths; and marks fields containing key-value pair sub-message arrays as runtime placeholders. Based on the first arriving message, it performs dynamic field scanning, generating unique identifiers by array index and element name; applies a regular expression numerical extraction algorithm to the string values ​​in the key-value pairs to discover the visual numerical fields hidden within the strings; and extracts values ​​from each arriving message according to the user-selected fields, transmitting them to the graphical interface thread for real-time plotting in the form of an automatically scrolling time window curve. This invention solves the problems of existing visualization tools failing to automatically discover complex nested messages and hidden numerical fields, and the loss of user interaction status in scenarios with frequent refreshes of the topic list.

This application discloses a data processing method, apparatus, and storage medium based on dynamic resource adaptation, relating to the field of data processing technology. The method includes: accessing rule execution result data under different rule development modes through a pre-configured unified data service registration interface; obtaining business source fields and establishing a mapping relationship between them and preset physical storage fields in the database using a dynamic field mapping algorithm. This algorithm allocates target physical fields based on the physical field resource pool status, combined with the business field type and length characteristics, while ensuring the continuity of historical data; initiating a rule trial run early warning process, calling the summary data query service, and intercepting anomalies in the summary record data according to monitoring thresholds; and dynamically generating rule execution task packages based on the data volume when no interception is triggered, calling the detailed data query service to obtain, parse, and display the data. This achieves efficient data adaptation and stable system operation in complex environments.

This invention discloses a data management and control system for the entire production process of silicone rubber products based on digital twins, belonging to the field of silicone rubber production management and control technology. It includes a data acquisition module, a twin construction module, a simulation driving module, and a quality field module. The data acquisition module collects real-time physical data of the entire production chain of silicone rubber products from raw materials to finished products. The twin construction module establishes a virtual digital twin of the physical production line. The simulation driving module injects real-time production data into the twin and drives synchronous simulation to generate a sequence of state parameters. The quality field module performs dynamic field analysis on the state parameter sequence, constructs an adaptive mesh topology that dynamically deforms with the parameters, and generates dynamic quality streamlines representing the quality transfer path between the topology nodes. This system realizes synchronous simulation of the entire silicone rubber production process and digital representation of the quality transfer process.

The application belongs to the field of protocol reverse technology, and discloses an industrial control message format inference method based on merging verification. Different merging strategies are adopted for static fields and dynamic fields, and statistical methods such as joint entropy and chi-square test are used to identify the semantic correlation between fields, effectively solving the common field over-segmentation problem in traditional methods. The method not only improves the accuracy of the inference result in a complex industrial control environment, but also enhances the robustness of the model to various unknown private protocols. The method can fully exploit the micro semantic features and structural consistency in heterogeneous protocol loads, thereby achieving better boundary recognition accuracy and inference robustness than four comparative algorithms. Moreover, the method combines the recursive merging mechanism of feature inheritance, without the need for manual pre-provision of any prior templates or format specifications, and can automatically and highly accurately restore the highly unknown protocol logic boundaries and underlying communication structures in complex industrial control networks.

System and techniques may be adapted for use in composite field sequencing for proton therapy. A technique may include generating a proton therapy plan in a treatment planning system, the proton therapy plan including a plurality of static fields. The technique may include creating a single data file of a single dynamic field representing the plurality of static fields. The single data file may be sent to a proton therapy system for delivery of the single dynamic field. The technique may include receiving a response information related to a dose delivered to a patient by the single dynamic field.

This invention pertains to computational fluid dynamics and machine learning technologies, specifically a physical mechanism-guided heterogeneous extrapolation method for high-resolution, meter-level dynamic fields of urban buildings. The method includes the following steps: selecting representative urban blocks to form a sample block set; using a WRF model to provide a regional-scale meteorological background field for the target city; driving a LES model to perform flow field calculations on the sample block set, generating high spatiotemporal resolution flow field data for the sample blocks, and pairing this data with corresponding meteorological background data to generate a training database; constructing and training a deep learning model for latent space injection of meteorological information, establishing an end-to-end nonlinear mapping relationship from the coupling characteristics of urban geometry and meteorological boundaries to the LES fine flow field through a dual-path encoding path and latent space injection mechanism; and dividing the target urban area into multiple local computational units to extrapolate the high-resolution dynamic field of the entire urban area. This invention balances computational efficiency, prediction accuracy, and physical consistency, enabling rapid response to urban dynamic fields.

This invention provides an intelligent method and system for extracting and analyzing invoice information using deep learning, relating to the field of deep learning technology. First, based on the field flow and association logic of invoice business scenarios, it generates semantic traceability tracing trajectories for fields, collects scenario-related features of the invoice carrier to generate scenario feature guidance signals, and uses these signals to locate the physical presentation areas of key fields and extract their original information to form a set. Next, it constructs a dynamic field association model, inputting the set of original information for key fields and scenario-related features into the model, and uses deep learning algorithms to model dynamic dependency relationships to generate a dynamic field association graph. Finally, based on this graph, it integrates information to generate scenario-based structured invoice analysis results, including core field content, scenario association logic, and dynamic association descriptions, enabling efficient and accurate processing of invoice information.

The application provides a sparse-view space video generation method and system for generative communication, which comprises the following steps: acquiring a sparse point cloud and camera parameters of a sparse multi-view video, and constructing an initial Gaussian sputtering scene representation; decomposing the initial Gaussian sputtering scene representation into a static field and a dynamic field, performing interpolation processing on the dynamic field, and reconstructing the Gaussian sputtering scene representation based on the interpolated dynamic field; constructing a generative prior model; performing first-stage iterative optimization on the reconstructed Gaussian sputtering scene representation, and outputting a geometric base after the iteration is completed; performing second-stage iterative optimization on the geometric base based on the generative prior model, and outputting a dynamic 3D Gaussian representation; and performing rendering at any time and any view angle for the dynamic 3D Gaussian representation, and generating a free-view space video. The application has high reconstruction fidelity, perceptual quality and spatio-temporal consistency, and provides an effective scheme for high-quality space video transmission and rendering in generative communication.

This invention provides a geological data management system, belonging to the field of database technology. Based on an existing relational metadata database, this invention adds a dynamic field configuration module, a metadata-driven model, and an adaptive data storage engine. The dynamic automatic configuration module allows for the customization of dynamic fields, which are represented by metadata through the metadata-driven model. The adaptive data storage engine dynamically maps the defined dynamic fields to the physical storage layer of the relational metadata database. A dynamic field rule table is added to the relational metadata database to associate the dynamic fields with the original data tables, and this table is updated in the server-side model. This invention enables the addition, modification, and storage of dynamic fields for pumped storage geological data, solving the problem that managing data with a fixed field structure is difficult to adapt to the differentiated needs of different pumped storage projects.

The application relates to the technical field of three-dimensional computer graphics, and discloses a meta-universe VR scene rapid modeling method, which is based on memetic primitives of geometry, connection, behavior and semantic attributes, and is macroscopically guided by a dynamic intention guide field defined by a user and containing structure, density and semantic components. Through a dynamic model based on energy minimization, the memetic primitives are driven to self-organize and evolve under the guide of the field, so that a stable connection structure is formed. The formed stable structure can generate a secondary dynamic field, which is coupled with the initial field, so that context-related emergent generation is realized. In addition, the application introduces a history trace correction mechanism based on a cause-effect chain, which allows non-destructive modification of historical design and efficient re-evolution of only the affected local part. The application deeply integrates high-level artistic guidance and bottom-layer self-organizing process, and can efficiently create a large-scale, high-quality and internally logical complex virtual scene.

This invention provides a method, system, device, and storage medium for updating the status of Points of Interest (POIs) based on information tracking. The method includes: establishing a corresponding set of tracking channels for each POI on the platform; performing semantic recognition on the information in the tracking channel set; establishing an update status information group based on fields corresponding to preset business status keywords and the publication timestamps of web pages that collect those fields; using the latest publication time of the update status information group as the current status information group based on sorting; and correcting the business status information of the POI based on the current status information group. This invention can automatically determine which content involves information with dynamic field changes and update the data accordingly through text parsing algorithms, achieving automatic tracking and updating of POI status, avoiding the disadvantages of information lag, and improving the user experience of the platform.

The application discloses a kind of based on vehicle-mounted network department mark protocol intelligent adaptation and smooth transition method, it is related to communication protocol technical field, method includes: S1, NLP protocol knowledge automation construction: NLP module parses department mark document and terminal message annotation, extracts version difference, constructs the knowledge base containing field type, bit sequence, constraint, is synchronized to rule engine;S2, AI model training, initialization and strategy library construction;S3, rule check and AI mapping: rule engine checks message format and realizes source protocol message legality check, AI module is dynamically adjusted according to scene mapping rule;S4, protocol conversion;S5, synchronous compliance inspection;S6, data reporting: data after compliance inspection is reported.It realizes protocol automatic analysis, dynamic field mapping, version smooth transition and compliance check integration, reduces adaptation cost, improves access efficiency and data accuracy.