5 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 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.