11 results about "Data compilation" patented technology

The application discloses a road data processing method and related device, N sampling points are sequentially sampled on a road line according to road direction, and at least one non-attribute change point is included between two adjacent attribute change points. The attribute change point as the sampling point carries lane change information, which identifies the increase or decrease number of the lane at the attribute change point relative to the adjacent non-attribute change point. An optimization function is constructed based on the road width corresponding to the adjacent sampling points. In the data compilation process, the width difference between the attribute change point and the adjusted road width of the adjacent sampling point after the road width of the sampling point is adjusted based on the optimization function can conform to the difference in the number of lanes, so as to form a road shape parameter and display the road in an electronic map. When the number of lanes of a road changes, the corresponding lane width can also increase or decrease with the change in the number of lanes, effectively improving the road display precision of the electronic map.

This application discloses a data processing system and method, a data application system and method, and a power system, belonging to the field of power data processing technology. The data processing system includes: a data acquisition module for acquiring a target dataset representing the characteristics of at least one power device, and obtaining a knowledge graph representing the characteristics of at least one power device from the target dataset; a data processing module for converting the knowledge graph according to a predefined standardized data format to obtain standardized device data models representing the characteristics of at least one power device; and a data compilation module for compiling each standardized device data model based on preset rules to generate a model library of global device data models representing the characteristics of at least one power device. This method facilitates cross-device and cross-system data interaction and sharing, improving data interaction efficiency.

The invention discloses an industrial automation-based sheet metal production engineering data automatic compilation system, which comprises a data acquisition module, a data preprocessing module, a feature extraction module, an engineering data compilation module, a database module and a data output module, the data acquisition module is in communication connection with the sheet metal raw material detection equipment, the product design terminal, the production equipment and the production data recording device and is used for acquiring sheet metal raw material parameters, product design parameters, production equipment parameters and historical production data. According to the sheet metal production engineering data automatic compilation system based on industrial automation, various data related to sheet metal production are comprehensively acquired through the data acquisition module, and accurate and effective data support is provided for engineering data compilation in combination with data preprocessing and feature extraction technologies; and by utilizing a machine learning model and a preset process rule in the engineering data compiling module, automatic compiling of sheet metal production engineering data is realized, and a large amount of manual intervention is not needed.

The present disclosure provides a partial homomorphism-based data compiling method, device, equipment and storage medium, comprising: a first electronic device receiving a first ciphertext parameter sent by a second electronic device, the first ciphertext parameter being used to indicate processing of to-be-compiled data, the encryption logic of the to-be-compiled data being full homomorphic encryption, converting the encryption logic of the to-be-compiled data into partial homomorphic encryption, the converted to-be-compiled data including the first ciphertext parameter and a second ciphertext parameter generated by the first electronic device, determining an operation graph corresponding to the converted to-be-compiled data according to a preset analysis library, each operation graph in the analysis library being used to represent an operation relationship between multiple parameters, executing the operation graph corresponding to the converted to-be-compiled data according to the first ciphertext parameter and the second ciphertext parameter to obtain a data compilation result, realizing the automation and intelligence of compilation, and improving the general applicability and flexibility of compilation.

The application relates to the technical field of task compilation, and discloses a task compilation optimization method, device, equipment and medium: all preset tasks in a task demand library are traversed, and feature parameters are extracted; according to a preprocessing algorithm, task collection data corresponding to the same preset task is simplified to obtain a simplified data set corresponding to each preset task; according to an instruction module corresponding to the feature parameters, all the simplified data in the simplified data set is subjected to data compilation to obtain data compilation information corresponding to each preset task; and according to a preset mapping model and real-time state data, the data compilation information is subjected to optimization processing to obtain task compilation optimization information corresponding to each preset task. The application is applied to a financial scene and a medical scene. Different tasks are respectively optimized in a targeted manner, the flexibility and efficiency of optimization are improved, and the efficiency and precision of compilation are improved.

This disclosure relates to a map data processing method, apparatus, device, and storage medium. The method includes: determining initial map data elements in response to a target operation instruction during the map data production stage; determining a target compilation module based on the initial map data elements and the corresponding target element relationships; and invoking the target compilation module to compile map data for the initial map data elements and the associated map data elements corresponding to the target element relationships, generating product map data elements. This achieves map data compilation for local map data elements, improving the efficiency and real-time performance of map data compilation; furthermore, it allows the compilation of local map data elements to be performed before the map data production stage or the map data master library stage, greatly improving the flexibility of map data compilation.

A method for reducing residual unbalance of a spindle (10) in a numerically controlled machine tool, the spindle (10) being designed to hold a tool (20) fastened to it by a tool holder. The method includes a data acquisition phase in which at least two measurement operations are carried out; the spindle (10) and the tool (20) are arranged at different angles relative to each other, and in each of which the spindle (10) is rotated and the vibrations to which the spindle (10) is subjected are measured and recorded in a database. The target angular position of the spindle (10) relative to the tool (20) is determined from the database compiled from the measurements and the spindle (10) and the tool (20) are oriented relative to each other according to the target angular value.

The present disclosure describes a sensor interface (SIF) system placed between sensor sources and signal processors. A SIF system can include a sensor interface queue (SIFQ) coupled to a first sensor source and a second senor source, and further coupled to a first data assembler and a second data assembler. The SIFQ can include a first queue to store a first set of data packets received from the first sensor source, and a second queue to store a second set of data packets received from the second sensor source. The first set of data packets and the second set of data packets can share the same data packet format. The first data assembler can assemble the first set of data packets into first data in a first frame format, and the second data assembler can assemble the second set of data packets into second data in a second frame format.

A data compilation and execution device and a data compilation and execution method. The data compilation and execution device includes a storage device and a processor. The storage device is configured to store a compilation module and an interpretation module. The processor is coupled to the storage device and configured to receive encapsulation data. The processor executes the compilation module to match a matching compiler corresponding to the encapsulation data from compilers according to the encapsulation data. The compilation module executes a data compilation flow by the matching compiler to generate executable data according to the encapsulation data. The processor executes the interpretation module to execute a corresponding flow according to the executable data. The data compilation and execution device and the data compilation and execution method automatically perform data encapsulation and task execution.

An object of a system according to an embodiment is to automate data analysis in sports and to efficiently and accurately perform the data analysis.SOLUTION: A system according to an embodiment includes a moving image analysis unit, a recognition unit, a motion analysis unit, a data aggregation unit, and a tactic analysis unit. The moving image analysis unit analyzes moving image data. The recognition unit recognizes a person and a ball from the moving image data analyzed by the moving image analysis unit. The motion analysis unit analyzes motions of the person and the ball recognized by the recognition unit. The data aggregation unit automatically aggregates the number of passes, shots, and turnovers analyzed by the motion analysis unit. The tactics analysis unit analyzes tactics based on the data aggregated by the data aggregation unit.SELECTED DRAWING: Figure 1

The invention discloses an attribute reduction method, device and equipment based on a coverage information system, and a medium, relates to the technical field of data reorganization, and aims to solve the problems of insufficient classification capability and limited application range of an existing rough set theory in training data attribute reduction. Firstly, an attribute set U of training data is used as a discourse domain, and a coverage information system is constructed; further, an attribute reduction problem is converted into a mathematical problem for solving minimum set coverage of a matrix by defining an attribute pair set and constructing a correlation matrix of the attribute pair set and the coverage, and a reduction result R is finally output through the steps of initialization, row and column traversal, elimination, iterative updating and the like; according to the method, redundant attributes can be accurately removed, the data classification capability is remarkably improved, the method is suitable for a complex military training data set with decision information, resources are saved for subsequent data storage and processing, and a more reliable data basis is provided for command decision.