3results about How to "Small data size" patented technology

The application belongs to the technical field of Internet, and particularly relates to an industrial Internet cross-domain metadata trusted fusion method and system, comprising the following steps: collecting structured metadata, time series metadata and relationship metadata of each industrial domain node, and constructing an intra-domain metadata graph based on field attributes and call relationships; performing semantic coding and time series coding on the intra-domain metadata graph, obtaining corresponding semantic representations and time series representations, and calculating inter-field consistency; identifying stable field clusters, drift field clusters and abnormal nodes according to the inter-field consistency in each industrial domain node; and performing segmented aggregation on the stable field clusters and the drift field clusters by each industrial domain node to generate anchor field summaries and drift trajectory summaries. The application combines metadata graph coding, field clustering and federal dynamic weighting, and realizes industrial cross-domain metadata private trusted fusion through abnormal compensation correction.

This invention relates to the field of artificial intelligence interactive data processing technology, including at least one smart terminal. The smart terminal has a built-in dual-partition storage module, a permission management module, a data compression module, and a cross-device migration module. The invention includes the following steps: S1, dual-partition storage system initialization stage; S2, hierarchical permission control rule configuration stage; S3, lightweight migration data package generation stage; S4, end-to-end offline cross-device migration stage; S5, data synchronization and process closure stage. This invention, through a dual-partition isolated storage architecture design, achieves physical layer isolation between personalized user private data and general AI model algorithms. Combined with a hierarchical and independent permission control mechanism, it effectively avoids the risk of user privacy data leakage due to unauthorized access. Furthermore, the end-to-end encrypted transmission mode eliminates the need for third-party cloud servers, reducing the risk of leakage of user private data during transmission.

This invention belongs to the field of data management technology, specifically relating to a method and system for managing geographic information mapping data based on multi-source spatiotemporal features. The method includes: acquiring mapping data containing spatiotemporal coordinate attributes and generating time-granularity codes; selecting the optimal child node based on comprehensive cost when inserting data; when a node is overloaded, evaluating the spatiotemporal variability cost of candidate splitting strategies to select the optimal strategy; for newly generated leaf nodes, determining the reference object and differential accuracy level based on the spatiotemporal distribution of internal data objects, and storing the differential values ​​of the data relative to the reference object; extracting query feature vectors and matching historical query patterns to cluster centroids for data prefetching; and asynchronously updating the centroids and adjacency pointer transition probabilities in batches after the query. This invention improves the retrieval response performance of mapping data while effectively compressing data storage space by constructing an index structure and combining differential storage with predictive prefetching.