24 results about "Globally unique identifier" patented technology

This invention discloses an intelligent analysis and early warning cloud database system for big data in water conservancy project operation and maintenance, specifically relating to the field of water conservancy project operation and maintenance technology. The system is based on a cloud-native architecture and includes an intelligent data lake warehouse, a time-series graph fusion storage engine, an embedded model computation module, a collaborative early warning and analysis module, and a self-learning optimization module. The intelligent data lake warehouse performs semantic annotation preprocessing on multi-source heterogeneous operation and maintenance data; the time-series graph fusion storage engine deeply integrates domain knowledge graphs with semantically annotated time-series data sequences, logically binding the time-series data sequences to graph nodes through globally unique identifiers to form a time-series-graph hybrid data model; the embedded model computation module deploys dedicated analysis models; the collaborative early warning and analysis module aggregates multimodal evidence chains, schedules model collaborative computation, and performs fusion analysis to generate early warnings; the self-learning optimization module optimizes the model online based on feedback. This invention achieves data fusion storage and intelligent early warning, improving operation and maintenance efficiency and reliability.

This invention relates to an automated method and medium for generating supervised fine-tuning corpora based on dynamic directory trees. The method includes: acquiring the parsed original document, dividing it using a multi-granularity semantic segmentation method to obtain multiple location blocks, and assigning a globally unique identifier to each location block; based on the location blocks and their identifiers, using a large language model to parse the content of each location block, generating a multi-level directory structure mapping its inherent knowledge logic, and constructing a dynamic directory tree; acquiring a preset questioning strategy, selecting target nodes from the dynamic directory tree, and progressively generating questions and answers based on the target nodes to form question-answer pairs, which serve as supervised fine-tuning corpora. Simultaneously, during the answer generation process, a dynamic extended context strategy and a structured thought chain are used to guide answer generation, completing the automatic corpus generation process. Compared with existing technologies, this invention has the advantages of efficiently and automatically producing high-quality supervised fine-tuning corpora supporting multi-hop reasoning.

This invention discloses a vector animation generation method and system based on sparse state modeling and enhanced rendering perception, involving the interdisciplinary fields of computer graphics, artificial intelligence, and natural language processing. The method first parses the initial static SVG to construct a DOM tree with globally unique identifiers, and then integrates visual embeddings and textual instructions to generate multimodal features. Next, it uses a multimodal large language model to generate a structure-bound thought chain, mapping abstract entities to specific nodes and planning a motion blueprint. Subsequently, using the blueprint as constraints, it predicts the attribute difference sequence of the target nodes and serializes it into a sparse state update sequence. Based on the initial static SVG code and the sparse state update sequence, the final vector animation sequence is constructed. This invention achieves precise alignment from semantics to structure through thought chains, significantly reduces data redundancy using a sparse difference mechanism, and realizes efficient and controllable generation from natural language to complex vector animations.

This invention discloses a data management method and apparatus for heterogeneous simulation platforms, relating to the field of AI chip design technology. The method includes: generating and marking a globally unique identifier for a simulation task when verification passes; writing the metadata of the marked simulation task into a relational database and distributing the simulation task to a designated simulation platform; obtaining simulation results, logs, and link tracing data files generated by the designated simulation platform executing the simulation task based on a matching execution strategy; writing the simulation results into a relational database and the logs and link tracing data files into object storage. A layered architecture of relational database and object storage is adopted to manage the structured metadata and large-scale simulation products scattered across various simulation platforms in a unified manner. Cross-platform data association is achieved based on the globally unique identifier of the simulation task, facilitating traceability of simulation process data for the same task based on the globally unique identifier.

The application discloses a BIM twin biological joint driving shield tunnel monitoring data stream processing system and relates to the technical field of shield tunnel monitoring processing. An edge gateway accesses shield machine operation parameters, structural environment monitoring and inspection data. After field alignment, uniform monitoring data packets are packaged, containing a globally unique identifier, a measurement point incremental serial number, double timestamps, a space-time object key and an object mapping version number. Disconnected cache is supplemented and power is equalized for storage. The cloud corrects alignment according to event time to form a time window and a ring number statistical frame. The statistical frame is online governed, and credibility, reason labels and uncertainty intervals are output. Based on credibility gating, early warning is shunted, and a late event correction generates a new version of the event and an evidence summary package. The credible event incremental update twin object state library is isolated from the update structure state and the sensor link state, can support playback and traceability and operation and maintenance closed loop, reduce false alarms and missed alarms, and maintain twin consistency and auditability.

The present application relates to the technical field of data synchronization, and more particularly to a cross-security-domain data synchronization method and system for transmission and inspection simultaneously. The method first acquires multi-source heterogeneous original business data, constructs a unified message envelope, and performs encryption and signature processing. Based on the real-time running index of parallel logical channels, the health score of each channel is calculated. According to the matching relationship between the health score and the security sensitivity label, the unified message envelope is routed to the target logical channel for transmission. Access control verification, content security detection and traffic shaping management are performed, and according to the detection risk level, instant blocking, channel switching or release disposal are executed. At the receiving end, the transmitted unified message envelope is verified and integrity checked, and based on the globally unique identifier and the shard number, idempotent deduplication and ordered rearrangement processing are performed, and the restored business data is distributed to the target business system. The present application significantly improves the real-time performance, continuity and data consistency of cross-domain synchronization.

This invention discloses a method, system, device, and storage medium for constructing a knowledge graph of cattle and sheep by-products. It establishes a domain ontology to define the entity classes and relationship types of the knowledge graph; registers data sources to generate globally unique identifiers for batch, sample, and document information; extracts field-level result information from document-based data sources; constructs an evidence fragment entity for each field-level result and writes it into the knowledge graph, with each evidence fragment entity recording the original content, document hash, document business identifier, and document location coordinates; and generates globally unique evidence fingerprints based on standardized field-level results and location information, writing the evidence fingerprints as entities into the knowledge graph and associating them with the evidence fragment entities. This invention enables cross-system evidence deduplication and alignment, marking changes in content at the same location, generating conflict cases, and binding conclusions with standard versions, rule versions, threshold sets, and evidence fingerprint sets, outputting an auditable interpretation chain, thus improving the consistency of knowledge graph data and end-to-end traceability.

The application relates to a BIM-based cross-platform computer-aided design system, which comprises a source end and a sink end, the source end is provided with a three-dimensional modeling platform, and the sink end is provided with a BIM platform; the source end is used for generating a cross-platform component identifier of each modeling component under a target layer according to a globally unique identifier of the modeling component; a geometry stream file is generated; a semantic stream file is generated; and the sink end is used for generating a target IFC component corresponding to the modeling component according to the geometry stream file and the semantic stream file.

The embodiment of the invention provides an authorization verification method for an iOS device. The method comprises the steps of obtaining a system version and model information of the iOS device and a globally unique identifier of an electronic book application; creating a downloading management database file, wherein the downloading management database file stores downloading addresses and equipment storage paths of the metadata file, the database management file, the pre-writing log file and the shared memory file; uploading the downloading management database file to a downloading directory of the iOS equipment in a compressed package file form; and downloading and decompressing the compressed package file, injecting the contained system configuration file into a system directory, and enabling the injected system configuration file to take effect so as to perform authorization verification on the iOS equipment. According to the authorization verification method for the iOS equipment, the authorization difficulty can be effectively solved in a legal user scene, and practicability and safety are both achieved. The embodiment of the invention further provides an authorization verification device of the iOS equipment and electronic equipment.

The application relates to an abnormality identification and examination and evaluation method and system based on multi-source data fusion, which comprises the following steps: acquiring a to-be-checked object set; taking a globally unique identifier as an index to acquire scattered feature data, and cutting the to-be-checked object set into multiple parameterized sub-sets; taking the globally unique identifier as an aggregation connection key to perform in-memory level stream pipeline recombination on personnel library feature data and activity library feature data to obtain a high-dimensional state feature stream; calculating a real examination basis based on the high-dimensional state feature stream; calculating an integral quantization score based on the real examination basis and a legal exemption time set; further determining an abnormality preliminary circled number of people; calculating a corresponding abnormality maximum quota number based on the to-be-checked object set; comparing the abnormality preliminary circled number of people and the abnormality maximum quota number to determine an abnormality outlier set for object examination and evaluation. Compared with the prior art, the application has the advantages of low algorithm time complexity.

The application provides a test case processing method, device, medium and product. The processing method is used for an electronic device and includes the following steps: a mind map format test case is parsed into a structured data object and split into multiple nodes; a globally unique identifier is assigned to each node, and the node and its association are stored in a database; in response to user selection of a target function module, based on all nodes associated with the target function module stored in the database, a switchable mind map view test case and a table view test case are displayed in a user interface.

This invention relates to the field of product traceability technology, specifically to a full lifecycle traceability method and system for intelligent supply chains. It addresses the technical problem of poor model generalization ability in the traceability process due to data gaps and the reliance on high-quality labeled data and high computing power costs of existing artificial intelligence models. The method includes: constructing a standardized traceability benchmark database with a globally unique identifier as the primary key; analyzing the business correlation strength between each link and the target batch, as well as the business causal relationships between different links, to determine the imputation value of missing data and the reliability of the imputation value; automatically labeling the imputation value and determining the false noise index based on the reliability and the original labeled data; filtering the imputation value based on the false noise index; and merging the filtered imputation value, labeled data, and original data to construct a closed-loop traceability link for the entire lifecycle with a globally unique identifier as the main thread.

This invention discloses a cognitive architecture for human-computer interaction and robot-to-robot communication based on a four-dimensional discrete spatiotemporal cognitive system, belonging to the field of artificial intelligence human-computer interaction and robot-to-robot communication technology. The four-dimensional discrete spatiotemporal cognitive system is embedded in a large language model and a robot control system, including a time coordinate axis, a context coordinate axis, a logical coordinate axis, and a device coordinate axis. The method includes: the cognitive system automatically generating four-dimensional discrete coordinates for each token, where the time coordinate is based on real-time time, the context coordinate is based on the dialogue sequence number, the logical coordinate is based on the token's sequential position in the interaction information, and the device coordinate is based on the device's globally unique identifier; in the attention mechanism of the large language model and the robot control system, the attention weight is adjusted according to the coordinate differences between tokens. This invention uses the four-dimensional discrete spatiotemporal cognitive system as a fixed underlying architecture for human-computer interaction and robot-to-robot communication, effectively solving problems such as context confusion, timing control, and multi-device collaboration in multi-turn dialogues during human-computer interaction and robot-to-robot communication.

The application discloses a prefabricated building construction quality tracing management method and system, which firstly constructs an accuracy control database containing a BIM global unique identifier, an RFID unique identifier, a virtual control point design coordinate set and a tolerance specification based on a BIM model, a list of components to be produced and an RFID tag pool, lays a data foundation for subsequent accurate measurement and tracing, then triggers RTS to track the components in a targeted manner through an RFID scanning event, acquires an accurate three-dimensional pose coordinate flow of the components in real time, compares the three-dimensional pose coordinate flow with the design coordinates, performs real-time pose solving and deviation calculation, finally, based on the real-time deviation flow and the tolerance specification, the system feeds back the deviation result to the on-site installation personnel in a visual manner (such as arrows and numerical values) in real time and intuitively, provides real-time installation guidance, so that the workers can make fine adjustment according to the guidance interface update instruction until the deviation enters the allowable range, so as to realize closed-loop control and accurate tracing of the prefabricated building construction quality.

This application discloses a general node instruction model adaptation management method and system. The method constructs a general node adaptation model, abstracting device connection protocols, authentication methods, etc., into standardized configurable items; it performs node registration and configuration based on this model; it establishes a mapping relationship between standard instructions and southbound interfaces; upon receiving an instruction request, it generates a globally unique identifier and stores it in a database; based on this identifier and the target network address, it performs distributed concurrent control to complete instruction adaptation conversion and execution. This invention reduces adaptation costs by configuring multiple devices once for reuse, avoids hard coding through standardized mapping, and ensures execution order and concurrency safety through hash modulo and distributed locks, achieving unified and efficient management of heterogeneous network devices.

This invention discloses a hash-based unique identifier generation method based on contract and material attributes, belonging to the field of metallurgical data identification technology. This invention performs MD5 hash operations (collision probability less than 10⁻¹²) only on core essential material attributes such as material, thickness, width, zinc layer, and coating amount. The contract number is then appended as a prefix to the hash value, forming a globally unique identifier in the format "contract number_hash value". This fundamentally avoids the risk of hash collisions, enabling accurate differentiation and full-process traceability of different materials within the same contract and the same materials between different contracts. It boasts advantages such as strong uniqueness, high stability, cross-system applicability, and ease of implementation in industrial scenarios. This invention has been fully implemented in a real industrial ERP system and can operate stably in real production environments for a long time, demonstrating mature engineering value and industrial promotion capabilities.

The application provides a result reordering verification method and system of out-of-order vector cores, and belongs to the technical field of processors. The method comprises the following steps: assigning a globally unique identifier to a vector instruction and binding a core configuration parameter; synchronously sending a labeled stimulus to a to-be-tested unit and an in-order reference model; storing the result of the out-of-order execution of the to-be-tested unit in a reordering buffer; performing sequential reorganization based on a program order sequence number to generate an in-order result set of the to-be-tested unit. The execution result comprises register values updated by the to-be-tested unit in a data path granularity and the execution result of a memory access instruction, and the complete final value of the register is generated by splicing the value updated in the data path granularity and the original value of the non-updated area according to the collected value; the in-order result set of the to-be-tested unit is compared with the in-order reference result set of the reference model for consistency; and when the comparison is inconsistent, the instruction identifier is used for backtracking positioning. The application solves the processing problem of the register partial update scene in the verification of out-of-order vector cores, realizes effective reordering and accurate verification of the out-of-order execution result, and has the advantages of high verification accuracy and strong universality.

This invention relates to the field of production control technology and provides a general production line process control method, comprising the following steps: assigning a globally unique identifier to each piece of equipment, binding the identifier with relevant equipment information, and storing it in a production database; dynamically combining multiple test sub-items according to test logic and mapping them to corresponding test stations based on product model; wherein the combination method of test sub-items, the number of stations, and the test order are dynamically adjusted according to product model; after each test station completes the test, the test result status is reported to the database in real time and recorded; the test result status includes untested, successful, failed, and locked status; and performing flow-type test control based on status determination. This invention achieves unified management and tracking of different equipment. Furthermore, by dynamically combining test sub-items and mapping them to corresponding test stations according to product model, this method can adapt to the production needs of different products, enhancing its versatility.

The invention relates to the technical field of intelligent traffic and computer vision, in particular to a traffic flow multi-parameter intelligent identification method and system based on video streaming, and the method comprises the steps: extracting frames from the video streaming, and detecting a vehicle position, a vehicle type and a license plate region through a deep learning model; after a vehicle triggers a virtual trigger line, multi-strategy image enhancement and multi-round OCR recognition are performed on a license plate area, multiple recognition results are fused by a weighted voting mechanism to overcome recognition limitation in a complex environment, a global unique identifier is distributed to the vehicle by using a tracking algorithm, the driving direction is judged based on the direction consistency of track points, and the recognition accuracy is improved. And flow statistics is counted only when the direction is stable and the detection area is completely traversed, so that repeated counting and direction misjudgment are avoided. The license plate recognition accuracy under the scenes of low illumination, rain and fog, shielding and the like is remarkably improved, and high-precision anti-repeated flow statistics and direction judgment are achieved.

This invention discloses a 3D modeling method for architectural landscapes based on the integration of BIM and VR, comprising the following steps: constructing a multi-dimensional BIM landscape basic model library, integrating architectural landscape-related components, establishing a component-level semantic attribute tagging system, assigning a globally unique identifier to each component, performing standardized preprocessing on BIM data, parsing multi-source BIM formats, unifying the coordinate system, normalizing material parameters, generating intermediate format exchange files, and establishing a mapping index table between BIM components and VR rendering resources; building a BIM-VR bidirectional data mapping middleware to achieve real-time bidirectional binding between BIM model parameters and the VR rendering engine. The middleware adopts a long connection and incremental synchronization strategy to ensure real-time data synchronization. This invention achieves real-time bidirectional synchronization between BIM and VR. Design changes in the VR scene can be automatically synchronized to the BIM model library without manual intervention, avoiding data deviation and improving design efficiency.

The application discloses an offline automatic decryption method and device for BitLocker encrypted partition. The method extracts data required for offline DPAPI decryption and key cache data stored in a registry by loading a system disk or an image; the cache data is decrypted by using a DPAPI technology to obtain a globally unique identifier and a recovery key; the identifier is used to identify a target encrypted partition based on a preset encryption signature feature, and the recovery key is used to complete decryption and file system analysis. The application does not require a user to provide a password or rely on a network, realizes full-automatic decryption by analyzing a left cache of an automatic unlocking function, and significantly improves the efficiency of data evidence collection and recovery in an offline scene.

This invention discloses a method for constructing a data mart for anti-money laundering applications. The method involves collecting internal and external data; processing the internal and external data into the data detail layer of the data mart; generating globally unique customer / account entity identifiers through cross-system identifier mapping and attribute matching; standardizing and merging heterogeneous data according to subject domains based on these globally unique customer / account entity identifiers; and storing the fused standardized subject domain data in the data detail layer to support subsequent applications. This invention designs a unified data model with customer, account, transaction, and judicial event as subject domains, breaking down internal and external data barriers. This structure not only achieves physical data centralization but also, through entity parsing and relation extraction, merges multi-source data into high-value assets with globally unique identifiers, enabling in-depth correlation analysis and laying a solid foundation for complex analysis.

This invention discloses an automated testing hierarchical feedback and intelligent attribution method and system based on multi-source data fusion, belonging to the field of automated testing technology. This invention collects multi-source data from the build domain, test domain, and environment domain, forming a test evidence chain through globally unique identifiers; it automatically and intelligently attributes failure logs to causes based on a fault feature rule base; it employs a hierarchical feedback mechanism of L1 real-time blocking feedback and L2 periodic deep reporting; and it automatically recommends suspects when attribution is to code defects. This invention can significantly shorten the problem localization cycle, achieve accurate early warning and efficient attribution, improve the efficiency of automated testing and defect repair, and is suitable for automated testing quality control in continuous integration scenarios.