32 results about "Dynamic field" patented technology

The present application belongs to the technical field of data processing, and discloses a multi-modal project data analysis method, which comprises the following steps: collecting heterogeneous modal project data; based on adaptive multi-scale filtering technology, denoising and timestamp correction are performed on each modal project data, and cross-modal time alignment is performed, and a multi-modal signal is output; a multi-level Boltzmann machine energy network is constructed, and a joint probability distribution of the multi-modal signal is modeled; a dynamic complexity measurement mechanism based on topological entropy is designed, which is used for representing project structure complexity, and a topological entropy dynamic field is generated; the topological entropy dynamic field is used as a constraint condition, a multi-dimensional covariant field framework is used, nonlinear coupling and space-time propagation among the multi-modal signals are simulated, the multi-modal signals are abstracted into string vibration modes, local topological defects in the topological entropy dynamic field are identified, and an abnormal fluctuation atlas is generated; and the analysis of complex multi-modal data in the project running process is more intelligent and controllable.

The application relates to the technical field of data processing, and provides an excel-based automatic testing method and device, electronic equipment and a computer readable storage medium, wherein the method comprises the following steps: sending a target user query request; when receiving return information with a target user name, extracting a user report corresponding to the target user name in a preset baffle library according to the target user name, wherein the user report is in an xml format; formatting the user report in the xml format into a user report in a json object format; combining the user report in the json object format with solid fields and dynamic fields in an expected test result of a test case read from a preset excel table to form a standard test result; comparing the standard test result with a pre-acquired actual test result; and generating an automatic test report according to a comparison result. The main purpose of the application is to compare the generated standard test result with the pre-acquired actual test result to generate a test report, so that the test efficiency is improved.

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.

Multi-tenancy system to perform tactical and permanent database and communication operations including secure handling of personally identifiable and / or health information (PII / PHI), data collection, data management, reporting, data analytics, secure communications, document sharing and microservices (e.g., capturing biomarkers, determining presence of certain conditions by comparing captured biomarkers to biometrics associated with condition). System includes security platform meeting stringent data protection mandates including firewall with extensive security protocols, encrypting communications between components of system (in transit) and information within each of the components (at rest). PII / PHI information is further encrypted and only visible with appropriate decryption key. System utilizes low code / no code database platform to address increasing demand for rapid, iterative and collaborative application development. System includes form builder to easily add dynamic fields. System includes a collaborative database development with a community structure approach of “who” data is needed from rather than “what” data is needed. Community structure controls operation thereof.

Embodiments of the present disclosure 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. Each event comprises a time-stamped portion of raw machine data and is stored in a field searchable data store. 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, wherein the at least one dynamic field is not defined in the data model.

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 relates to the field of data processing technology and discloses an integrated sky-ground geological environment monitoring and assessment method and system. The method includes: integrating sky remote sensing, surface monitoring, and underground exploration data into a monitoring matrix, processing the data to generate a raw database; constructing a spatiotemporal standard field based on the database and fusing it to generate a correlation spectrum; decomposing the correlation spectrum to obtain element feature chains; constructing a coupled dynamic field based on the feature chains and analytically obtaining an evolutionary parameter set; establishing a risk assessment matrix based on the parameter set and analyzing to generate an early warning indicator system; and designing a governance plan by combining the early warning system and historical cases. This application achieves deep integration of space-based remote sensing data, surface monitoring data, and underground exploration data by constructing a unified spatiotemporal standard field, a multi-level feature transfer network, and a dynamic coupling model, thereby improving the accuracy and reliability of geological environment monitoring and assessment.

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 invention discloses a data processing method, device and equipment and a computer readable storage medium, which are applied to the technical field of data processing, and comprise the following steps: receiving a business object type submitted by a user through a configuration page; determining database table information corresponding to each business object type; based on the data processing information, utilizing an analyzer to generate a structured statement, and utilizing a database adaptation method to generate a target data processing statement corresponding to the current database; the analyzer is a component for automatically generating a structured query language; and processing each business object type and the database table information corresponding to the business object type by utilizing the target data processing statement. Compared with the situation that dynamic field management, multi-data type support and cross-database compatibility cannot be met at the same time at present, the method has the advantages that the structured statement can be directly generated through the analyzer, the target data processing statement corresponding to the current database is generated through the database adaptation method, all databases can be adapted, and the data processing efficiency is improved. Therefore, the data processing efficiency is improved.

The invention relates to the technical field of testing interface boards, and discloses an optimized wiring method for testing the signal integrity of an interface board. Comprising the following steps of test interface board TIB layout pre-analysis and forced coupling channel determination, forced coupling channel region multi-layer parameterization modeling, forced coupling channel bearing bus data coding mode and weight acquisition, dynamic field calculation and parameterization crosstalk model construction, field phase collaborative optimization and test interface board physical wiring implementation. According to the method, physical geometry and time delay control parameters are generated through S2 multi-layer parameterized modeling, S4, a dynamic field solver is driven to calculate a coupling matrix in real time and construct a parameterized crosstalk model in combination with a data coding mode and weight extracted in S3, then S5, the model is called to start a global optimization algorithm, the physical geometry and time delay parameters are synchronously adjusted, and therefore the crosstalk performance is improved. The algorithm linkage of parameter modeling, field resolving, model building and collaborative optimization is realized, and the traditional crosstalk control limitation only depending on geometric spacing is broken through.

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.

The invention relates to the technical field of deformation research of an atomic system, and particularly provides an atomic strain calculation method based on a dynamic neighborhood and a deformation gradient tensor, and the method comprises the steps: determining a region in which atomic strain needs to be calculated; constructing a dynamic field; and constructing a deformation gradient tensor to calculate an atomic strain tensor. The method has the advantages that the accuracy of strain calculation is high, the calculation efficiency is remarkably improved, and the applicability and expansibility are high.

The invention discloses an expert classification and grading method based on artificial intelligence driving and related equipment, and can be applied to the technical field of artificial intelligence. According to the method, after the first expert classification system is expanded based on the dynamic field expansion rule to obtain the target classification system, feature extraction is performed on the unstructured text data of the to-be-classified and graded experts based on the preset weighted statistical algorithm to obtain the weighted feature vectors; and then calculating the cosine similarity between the weighted feature vector and all domain vectors in the target classification system, and determining a target classification result corresponding to the to-be-classified and graded expert in the target classification system according to the cosine similarity, thereby effectively improving the expert classification accuracy. Meanwhile, according to the unstructured text data, after the multi-dimensional comprehensive score corresponding to the expert to be classified and graded is calculated through the multi-dimensional comprehensive evaluation system, the expert grading result corresponding to the expert to be classified and graded is analyzed according to the multi-dimensional comprehensive score, and therefore the expert grading accuracy can be effectively improved.

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 invention discloses a data storage method, a storage medium and an electronic device.The data storage method comprises the steps that under the condition that to-be-stored data is obtained, the field length and the data type of the to-be-stored data are determined; when it is determined that the field length of the to-be-stored data is larger than a preset length, or the data type of the to-be-stored data is variable-length data with the field length dynamically changing, the to-be-stored data is stored according to the field length of the to-be-stored data; and querying whether a target storage space matched with the field length exists in the storage space with the multiplexing identifier in the first storage area. And under the condition that the target storage space exists in the first storage area, storing the to-be-stored data to the target storage space. By preferentially selecting the target storage space in the reusable storage space, compact management and efficient reuse of the storage space are realized, storage fragments are reduced, and the overall utilization rate of the storage space is improved.

The invention relates to the technical field of information processing, in particular to a data field extraction method and device, a storage medium and computer equipment. The method comprises the following steps: acquiring a standard bill image and an actual bill image belonging to the same pixel coordinate system; determining an actual rectangle in the actual bill image based on the actual position of the anchor point in the actual bill image; comparing the standard rectangle with the actual rectangle, and determining an image calibration parameter; performing calibration processing on the actual bill image based on the image calibration parameter to obtain a calibration image; and based on the standard bill image, extracting a data field belonging to the second preset field type from the calibration image. Under the condition that the actual bill image shifts or rotates relative to the standard bill image, the dynamic field with the changed text content in the actual bill image can still be reliably positioned and extracted.

The invention belongs to the technical field of agricultural production application, and particularly discloses a mixed path planning method in a field dynamic environment. The method disclosed by the invention comprises the following steps: firstly, generating a two-dimensional grid map and determining a starting point and a target point; then, performing static path planning by using an improved A * algorithm fused with ray jump, and generating an optimal reference path; then, setting a safety distance between the robot and the obstacle by using a self-adaptive safety corridor algorithm; then, candidate points are selected from the global path within the prospective distance, the number of sampling points is calculated, reachability detection is carried out, and sub-targets are selected; thirdly, performing local path planning by using an improved dynamic window method according to the selected sub-targets; and finally, the robot continuously traverses each sub-target point and finally arrives at the target point. According to the method, the number of search nodes can be remarkably reduced in an open environment, and the calculation efficiency, track smoothness and safety are improved. The method can be widely applied to field robot navigation and path planning.

The invention provides a flood discharge and sediment discharge tunnel construction strategy evaluation and generation method, system and device, and relates to the technical field of hydraulic engineering construction, and the method comprises the steps: generating a time sequence vector of multi-source data in a preset construction time period according to the multi-source data of a construction region of a flood discharge and sediment discharge tunnel in the preset construction time period; constructing a three-dimensional dynamic field model and a dynamic evaluation model according to the time sequence vector of the multi-source data; determining strategy reference parameters according to the three-dimensional dynamic field model; according to the strategy reference parameters, an initial construction strategy of the flood discharge and sediment discharge hole is generated; dynamically evaluating the initial construction strategy through a dynamic evaluation model to obtain an evaluation result of the initial construction strategy; and performing iterative optimization on the initial construction strategy according to an evaluation result to obtain a final construction strategy of the flood discharge and sediment discharge hole. According to the method, the accuracy of flood discharge and sediment discharge hole construction strategy evaluation and generation is improved.

The invention discloses an assertion script reconstruction method and related equipment, and the method comprises the steps: obtaining an original assertion script and a user neglect rule, executing a script record field dynamic track to generate a system neglect rule, and carrying out the semantic-level marking of an assertion node of a field needing to be neglected in an abstract syntax tree through the combination of the two types of rules, and reconstructing and generating a target script based on various neglect strategies. By automatically identifying the runtime dynamic field and fusing the user-defined rule, the adaptability to the dynamic scene is remarkably improved. Meanwhile, automatic positioning of the neglected field in the nested structure is achieved by means of the abstract syntax tree, tedious manual modification operation is replaced, adaptation can be completed only by updating a strategy when field features change, the test and maintenance cost is greatly reduced, and repeated labor and human errors are reduced. In addition, different dynamic fields are precisely processed through a strategy, the stability of assertion logic under a complex data structure is guaranteed, and the test accuracy is effectively improved.

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 invention provides a method and a system for transmitting content in an immersive live broadcast stream and a storage medium. The method comprises the following steps: acquiring head motion data of a user in a preorder time period of watching live broadcast; calculating a dynamic vision field range of the user in a subsequent time period according to the motion data; establishing an adaptive model of a dynamic relationship between the block duration and the dynamic vision field range, inputting a real-time network bandwidth and the dynamic vision field range into the adaptive model, and generating the dynamic relationship between the dynamic vision field range and the block duration; and introducing the dynamic vision field range and the block duration as optimization variables into a target function, generating a relative weight between the dynamic vision field range and the block duration, and performing content transmission of the live broadcast stream according to the relative weight. The problems of black edges, jamming or redundant broadband consumption in the process of watching the immersive live broadcast are solved.

The invention discloses a dynamic field domain contour constraint-based topological primitive mapping synchronous positioning method, which comprises the following steps of: acquiring a multi-view image by adopting an underwater camera, performing topological primitive-based initialized map representation on a target field domain according to the multi-view image, and defining a topological primitive as a three-dimensional Gaussian geometry; inputting the parameterized three-dimensional Gaussian geometry into an Al-pha B l endi ng algorithm for depth order map projection to obtain a rendered map with color, depth and contour information; setting the pose of the first frame of image of the underwater camera as a unit matrix, inputting the pose of the previous frame of underwater camera into a constant-speed projection algorithm from the second frame to obtain the pose of the current frame, screening effective boundary pixel points based on contour information in a rendering map, and optimizing the pose of the underwater camera in a mode of minimizing rendering errors; a three-dimensional Gaussian geometry is dynamically added according to the contour boundary sparsity difference and depth error of the rendering map of the adjacent frames, and the coverage range of the rendering map is expanded; the three-dimensional Gaussian geometry parameters are selectively optimized based on the key frame view cone overlapping degree, and the mapping precision is improved.

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.