15 results about "Data grid" patented technology

This invention relates to the field of data processing technology, specifically a comprehensive evaluation system for large-scale mass sports events based on image recognition technology. The system includes a time-frame synchronization module, a target tracking and detection module, a participation analysis module, a heatmap generation module, a trend prediction module, and a report generation module. First, it synchronizes multiple event video streams. Then, it tracks and detects the movement trajectories of participants, statistically analyzing the number of participants and their trajectory distribution to obtain real-time participation. The participation data is then processed into a grid to generate a dynamic heatmap, and the spatiotemporal evolution trend of participation concentration is predicted based on the event schedule. Finally, the real-time participation, dynamic heatmap, and prediction results are integrated to generate a comprehensive event evaluation report. This invention can improve the efficiency of generating reference information for the comprehensive evaluation of large-scale mass sports events based on image recognition technology.

A lattice Boltzmann method (LBM)-based fluid analysis simulation device according to an embodiment of the present invention comprises: an input unit for receiving data pertaining to an analysis target for fluid analysis simulation; a grid generation unit for generating a plurality of calculation grid systems for calculating flow data on the basis of the received data; and a flow data calculation unit for calculating the flow data pertaining to the analysis target on the basis of a flow equation in the plurality of calculation grid systems. The plurality of calculation grid systems include: a fixed grid system generated to be stationary in a space of the analysis target; and a rotating grid system having an overlapping area overlapping the fixed grid system and generated to rotate in the space of the analysis target.

This invention discloses a method and system for intelligent selection and conflict prevention management of warehouse locations, relating to the field of industrial warehouse management technology. The invention constructs a warehouse location planar data table consistent with the physical layout of the warehouse, and utilizes the Microsoft GridView data grid control to visualize the warehouse location status. It supports filtering by warehouse area features, and intelligent selection of warehouse location numbers is achieved through single-click preview and double-click automatic backfilling. It intercepts occupied warehouse locations in advance to avoid conflicts, and achieves seamless linkage between warehouse location selection and the inbound / transfer business interfaces. It also supports manual data refresh to ensure real-time accuracy. This invention effectively solves the problems of traditional warehouse location management, such as lack of intuitiveness, susceptibility to errors, frequent conflicts, and cumbersome operation. It has advantages such as strong visualization, accurate location selection, reliable conflict prevention, and simple operation, and is suitable for intelligent warehouse management scenarios in various industrial warehouses. This invention has been fully implemented in a practical industrial warehouse management system and can operate stably for a long time in real production environments, possessing mature engineering value and industrial promotion capabilities.

This invention discloses a method and system for constructing and managing datasets for thermal power plants using multimodal data, belonging to the field of data processing and management technology. The method constructs a data grid to achieve unified collection, spatiotemporal alignment, and standardization of equipment data, multi-source data, and unstructured documents; it extracts fault knowledge from documents using a large language model and fuses it with real-time data to construct a dynamic knowledge graph; by defining core scenarios and event rules, it automatically triggers data annotation and model training processes, enabling continuous iterative updates of the detection model; finally, it combines the optimized model for real-time early warning and source tracing analysis, and forms a closed-loop optimization of the knowledge base, data tags, and model through user feedback. This invention can solve the problems of insufficient multi-source data fusion and inability to update in real time in existing technologies.

The application discloses a credit anti-fraud blacklist area identification system and method based on grid division, which comprises a data acquisition and preprocessing module for acquiring and preprocessing GPS coordinate data and face recognition images to obtain preprocessed GPS coordinate data and preprocessed image features, and acquiring business data; a gridding division and coding module for performing spatial discretization and grid coding according to the preprocessed GPS coordinate data to obtain GPS grids, and according to the business data, counting a plurality of indexes in each GPS grid; a feature engineering construction module for determining a plurality of feature vectors based on the plurality of indexes and the preprocessed image features; and a black grid identification model training and execution module for inputting the plurality of feature vectors into a trained black grid identification model to obtain a black grid identification result. The application can improve the accuracy of identifying credit anti-fraud blacklist areas.

The application discloses a method and system for inverting marine gravity anomaly based on physical information neural network, and particularly relates to the field of physical geodesy, and the method comprises the following steps: acquiring multi-source altimetry satellite sea surface height data, and calculating the north-south and east-west components of residual vertical deflection; utilizing the inverse Vening-Meinesz formula to invert gravity anomaly to construct a training set; constructing a physical information neural network, embedding the physical gradient relationship between the vertical deflection and the gravity anomaly into a loss function to perform constraint training, and establishing a high-precision nonlinear mapping model of the two; and finally inputting the data of a region to be measured to output inversion results. Through data driving and physical equation collaborative optimization, the application does not need data gridding and complex discretization processing, effectively fuses prior knowledge, and significantly improves the precision and physical consistency of marine gravity anomaly inversion.

This invention discloses a gridded visualization method for scanning lidar detection data, belonging to the field of lidar detection and geographic information system visualization technology. The method comprises the following steps: S1: Constructing a three-dimensional grid spatial model; S2: Collecting raw detection data from the scanning lidar, performing spatiotemporal synchronization and coordinate transformation, and mapping each detection point to the corresponding grid cell of the three-dimensional grid spatial model; S3: For each grid cell, statistically analyzing the historical detection hit count and theoretical scan count, and combining the lidar equation and atmospheric extinction model to calculate at least one detection capability index; S4: Generating visualization rendering data with optimized color mapping, transparency, and hierarchical details based on the detection capability index; S5: Rendering the visualization rendering data using a three-dimensional graphics engine and providing interactive analysis functions to achieve gridded visualization of detection capabilities. This invention improves the accuracy, intuitiveness, and interactive efficiency of lidar detection performance evaluation.

The present disclosure provides a temperature compensation method and system based on temperature and pressure partition, the method comprising: obtaining a current temperature value and a current pressure value of a pressure transmitter; determining a corresponding target grid area in a preset compensation data grid according to the current temperature value and the current pressure value, wherein the compensation data grid is composed of a plurality of temperature-pressure intervals, and each temperature-pressure interval corresponds to a set of calibration compensation data; and calculating a compensated pressure value corresponding to the current temperature value and the current pressure value based on the calibration compensation data corresponding to the target grid area by using an interpolation algorithm. The method of the present disclosure can achieve accurate and efficient temperature compensation.

The application provides a method for processing aerodynamic noise of a helicopter rotor in a forward flight state, and the method comprises the following steps: acquiring noise calculation parameters, blade load data, grid data and blade control quantity; processing the blade load data, the grid data and the blade control quantity to obtain a processing result; substituting the noise calculation parameters and the processing result into a noise calculation formula to obtain a contribution of each grid unit to total noise; superimposing the contribution of each grid unit to total noise to obtain a sound pressure time history of the entire rotor; and processing the sound pressure time history of the entire rotor to obtain a total sound pressure level of the rotor.

A method, an apparatus, an electronic device, a storage medium and a program product of implementing data mesh service. The method includes: establishing a data mesh anchor and configuring said data mesh anchor to comprise data source, data target, task scheduler and data typology (S101); performing task pipeline of said data mesh anchor (S102). In this way, it is convenient to make every model of all components based on same data standard for interoperability with other data systems in data mesh system and implement data mesh service.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium for encoding input data comprising input data values corresponding to respective input data grid points of an input data grid, such as image, video or audio data.

This invention discloses a method and apparatus for grid-connected management of small generators based on multiple parameters, relating to the field of power grid-connected control technology. The method includes the following steps: acquiring comprehensive energy operation data of the generator set, generating high-precision energy data, and performing multi-scale islanding identification and dynamic evolution prediction on the high-precision energy data to form a multi-layered risk situation sequence; based on the multi-layered risk situation sequence, implementing adaptive power allocation and multi-data grid-connected strategy collaborative optimization to generate real-time coordinated control commands; performing heterogeneous resource mapping and multi-granularity scheduling and orchestration on the real-time coordinated control commands to generate a hierarchical control execution sequence; executing multi-channel power splitting according to the hierarchical control execution sequence and performing dynamic power compensation. This application solves the problems of coarse power allocation, delayed risk response, and insufficient multi-source coordination in traditional grid-connected control through multi-layered risk situation-driven collaborative optimization and multi-granularity scheduling and orchestration technology.

This invention discloses a multi-line design system and method for medium-voltage DC distribution networks based on a 3D model, belonging to the field of medium-voltage DC distribution network design technology. The system includes responding to 3D model construction commands and loading spatial geographic data and electrical parameter datasets; processing the spatial geographic data into a grid to generate a 3D spatial grid matrix with topological connections; mapping electrical parameters to corresponding nodes to form an initial 3D power grid model; traversing nodes to identify high-power-density target nodes, extracting electrical connections and spatial distance attributes of adjacent nodes, calculating candidate line path cost evaluation values, and selecting the optimal one as the basic layout scheme; superimposing and verifying the basic scheme with the 3D grid matrix; triggering avoidance adjustments if conflicts exist, and determining the scheme to be optimized if no conflicts exist. This invention can achieve the fusion of spatial and electrical parameters, improve the adaptability of line layout, avoid spatial interference problems, and ensure the rationality and accuracy of line design.