90 results about "Globally unique identifier" patented technology

The invention provides an authentication document form generation method and system, and relates to the technical field of data processing, and the method comprises the steps: obtaining an authentication document; converting the authentication document into an XML (Extensible Markup Language) file so as to map authentication document data to an XML tree node of the XML file; standardizing the XML file through the global unique identifier and the tag system to obtain a standardized XML file; in combination with the standardized XML file, template candidate items conforming to different manageable data templates in the authentication document are extracted respectively; in combination with the template candidate item, mapping the authentication document to a target form; and establishing a bidirectional mapping relationship between the target form and the authentication document to realize bidirectional conversion between the target form and the authentication document and complete the form processing of the authentication document. Through establishment of the bidirectional mapping relation, synchronous updating of the form and the document content can be achieved, errors caused by manual operation are avoided, and automation, accuracy and practicability of document conversion are remarkably improved.

The invention discloses an auditing method and device during function execution in reproductive medical service. A server side method comprises the steps that an information operation request sent by a client side is received; the information operation request carries a globally unique identifier and auditing parameters of the patient; checking whether the information operation request has an operation authority or not; when the information operation request has the operation authority and the parameter state of the auditing parameter is to-be-stored, performing data desensitization on original medical information in the auditing parameter to obtain to-be-stored medical information; constructing a first operation log based on a data operation function expression and a service attribute in the audit parameter; and storing the to-be-stored medical information to the medical data table by adopting the global unique identifier, and storing the first operation log to the audit data table. By adopting the embodiment of the invention, the security of data transmission and storage can be improved. Meanwhile, the operation behavior of each link is accurately recorded and monitored through a refined management mode, and the transparency and traceability of data are improved.

Embodiments of the present application provide an online data migration method, device and equipment. The method comprises: receiving a data migration instruction sent by a user end; creating a migration pair composed of a source volume and a target volume according to the data migration instruction; performing background migration of data in the source volume to the target volume, and monitoring the migration progress, wherein during the background migration process, continuously receiving data write requests sent by a host through a logical volume; when the migration progress is less than a first threshold, issuing the data write requests to the source volume; when the migration progress is greater than or equal to the first threshold, issuing the data write requests to the source volume and the target volume simultaneously; after the data migration is completed, switching the mapping relationship of the logical volume from the source volume to the target volume, and keeping the globally unique identifier presented by the logical volume unchanged, so that the target volume takes over the source volume to provide storage services to the host as the back-end storage of the logical volume. The method provided by the present application effectively reduces the load of the storage system and improves the resource utilization.

The application provides a medical high-value consumable management system, method, electronic equipment and storage medium. The system comprises a high-value consumable management module, which is also used to obtain traceability information of high-value consumables according to the unique device identifier and the globally unique identifier; a table-following surgery module connected to a surgery management system of a hospital and the high-value consumable management module, which is used to record consumption amount, category and use of high-value consumables used in a surgery process, and synchronize the consumption data to the inventory management system; an inventory management and replenishment decision module used to obtain real-time inventory information, storage cost and ordering fixed cost of high-value consumables; a traceability and reporting module used to generate consumable use traceability reports and inventory change trend reports, which can significantly improve the management efficiency of medical high-value consumables, reduce errors and resource waste caused by human intervention, adopt a demand prediction method based on a long short-term memory network (LSTM), and accurately predict the use trend of future consumables, effectively avoiding the situation of inventory accumulation or shortage.

The present application provides a system that integrates BIM and IoT datasets into a digital twin platform, enabling real-time spatial monitoring, semantic referencing, and lifecycle management of building assets. The system includes a BIM interface module, an IFC conversion module, a preprocessing module, and a data linking module. The BIM interface module receives external data to generate or update a BIM model. The IFC conversion module converts the BIM model into an IFC-compatible format with a globally unique identifier. The preprocessing module performs model federation and data normalization, and includes subcomponents for performing geometric conversion to WebGL, semantic structuring, IoT spatial tagging, and floor tagging. The data linking module serializes the output information, uploads it to an object storage area, and registers access URLs and property mappings in the platform database.

The invention relates to the technical field of power systems, and discloses a multi-level voltage control method and related equipment, and the method comprises the steps: constructing a loosely coupled digital twinborn model corresponding to a three-level architecture system of power grid dispatching management; based on the loosely coupled digital twinborn model, obtaining total data of a target area; processing the total data based on the global unique identifier of the equipment and a preset physical rule to obtain a processed data set; and controlling the voltage of the target area according to the loosely coupled digital twin model and the processed data set. According to the invention, the problems of poor accuracy, low efficiency and poor reliability of a current voltage control scheme can be solved.

An example client device is configured to (i) display a representation of a three-dimensional, federated model of a construction project, the model including respective objects created using at least two different authoring tools, (ii) receive one or more user inputs that collectively (a) select a displayed representation of a given object within the model and (b) assign a value for a property of the given object, (iii) based on the one or more user inputs, identify a globally unique identifier (GUID) that uniquely identifies the given object within a hierarchical data structure for the model and cause the model to be updated by associating the assigned value for the property with the GUID that uniquely identifies the given object, and (iv) display a representation of the updated model including an indication of the assigned value for the property of the given object.

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.

An example operation includes one or more of receiving a message from a user device, the message comprising a timestamp, a random number, and a hash value, identifying a globally unique identifier (GUID) in a storage of a software application, combining the timestamp, the random number, and the GUID to generate a combined value, and hashing the combined value to generate a local hash value, and establishing a connection between the software application and the user device when the local hash value matches the hash value.

The present application relates to the technical field of product traceability, and in particular to a full life cycle traceability method and system for smart supply chain, which solves the technical problem of poor model generalization ability in the traceability process caused by data missing and the dependence of artificial intelligence model on high-quality labeled data and high-computing power cost in the prior art. The method comprises: 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 and the business causal correlation between different links, determining the completion value of the missing data and the credibility of the completion value; according to the credibility and the original labeled data, automatically labeling the completion value and determining the false noise index; filtering the completion value according to the false noise index, fusing the filtered completion value, the labeled data and the original data, and constructing a full life cycle closed loop traceability link with the globally unique identifier as the main line.

The invention discloses a data management method and device of a backpack system and a storage medium, and belongs to the technical field of data management. The method comprises the steps of receiving a data acquisition request which comprises a globally unique identifier of a target data object, retrieving a central registry according to the globally unique identifier, determining a functional module responsible for managing the target data object, acquiring a standardized data access interface associated with the functional module, and accessing the target data object through the standardized data access interface. And initiating a detail acquisition operation for the target data object to a function module, and receiving and outputting detail information of the target data object returned by the function module. According to the application, the data content maintained by the knapsack system is adjusted from all article data to the access interface corresponding to the data, and the system coupling degree is reduced, so that the maintainability and expandability of the knapsack system are improved.

The invention discloses a whole-course quality safety tracing method for semiconductor product logistics, relates to the technical field of quality tracing analysis, and solves the technical problems that an encryption strategy does not distinguish field-level sensitivity and cannot give consideration to safety and transmission efficiency at the same time. Field-level differential encryption is carried out on structured / unstructured data, the bandwidth and the calculation overhead are remarkably reduced while the security of core intellectual property is guaranteed, a triple generation mechanism with source evidence and 0-10 quantization confidence is provided, multi-source cross validation and expert confirmation state automatic scoring are combined, and the security of the core intellectual property is improved. The reliability and auditing compliance of the initial quality safety knowledge graph are ensured, the key node weight is automatically learned from the knowledge graph based on the graph neural network, the multi-factor coupling risk is effectively identified in combination with the yield + / -3 sigma dynamic threshold value of nearly three months, and misjudgment of a traditional fixed threshold value in the yield fluctuation period is avoided.

A computer system for generating a dynamic financial protocol can include: non-transitory computer-readable storage media encoding instructions which, when executed by the one or more processors, causes the computer system to: receive a request for a financial transaction from a user; validate information associated with the user, including Know Your Customer (KYC) details about the user; generate a financial identifier for the financial transaction, wherein the financial identifier is a global unique identifier for the financial transaction; generate a message in accordance with the dynamic financial protocol, wherein the message includes: the fixed part includes the user's KYC details, an account of the user, and the financial identifier; the configuration part includes account details of a recipient; and the dynamic part is a multidimensional array that includes additional transaction details; and process the financial transaction initiated by the user based on validation of the recipient using the financial identifier.

The invention discloses an emergency broadcast system scheduling control scheme generation method, which relates to the technical field of emergency broadcast intelligent scheduling, and comprises the following steps: collecting a multi-source emergency event information data stream, and generating a unified event description record containing a global unique identifier, a quantitative influence level and an accurate geographical range through space-time correlation analysis and data fusion. The resource demand is calculated based on the record, and a scheduling conflict detection and optimization algorithm is utilized to generate a plurality of alternative schemes consisting of a terminal activation sequence, channel allocation mapping and broadcast time window arrangement in combination with a real-time resource state. And screening out an optimal scheduling scheme through the evaluation model and converting the optimal scheduling scheme into an executable instruction sequence. According to the method, the accurate integration of the emergency event information from heterogeneous to unified is realized, and the conflict problem in resource scheduling is solved through multi-scheme optimization decision, so that the automation level and the resource allocation efficiency of the emergency broadcast system in response to complex events are improved.

Systems and methods relating to full motion video (FMV) routing in one-way transfer (OWT) systems are described herein. The present technology modifies or adds packetized elementary streams (PESs) of video streams, that are sent from the low-trust side of the OWT system, with a global unique identifier (GUID) that is used as an identifier to determine a particular destination on the high-trust side of the OWT system. The enriched video stream is then transmitted through an OWT system that provide high reliability for the enriched video stream. When the enriched video stream is received on the high-trust side, the GUID from the PES is extracted and used to identify destination addresses for destination devices in the high-trust computing environment. The video stream is then delivered to the destination devices having the corresponding destination addresses.

The application discloses a data management method and device for a heterogeneous simulation platform, and relates to the technical field of AI chip design, comprising: generating a globally unique identifier for a simulation task and marking when the verification passes; writing the metadata of the simulation task marked into a relational database, and issuing the simulation task to a designated simulation platform; obtaining the simulation results, logs and link tracking data files generated by the designated simulation platform based on the matched execution strategy; writing the simulation results into the relational database, and writing the logs and link tracking data files into object storage. The hierarchical architecture of the relational database and the object storage is adopted to uniformly manage the structured metadata and large amounts of simulation products scattered in various simulation platforms in layers; and the globally unique identifier of the simulation task is used to realize cross-platform data association, so that the simulation process data of the same task can be traced based on the globally unique identifier.

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.

Embodiments described herein are configured for the provision of secure keys and the applications enabled thereby. For instance, an application may read in a first globally-unique value of a pair of globally-unique values from a physically-implemented machine-readable format. The application provides the first globally-unique value, along with a globally-unique identifier of the application, to a database. The database determines a globally-unique value associated with the first globally-unique value, designates the associated globally-unique value as a secure key, and associates the secure key with the application using the application's globally-unique identifier. The application then instructs a user to read in the second globally-unique value from a physically-implemented machine-readable format, which should match the globally-unique value determined by the database of the pair, and designates the second globally-unique value as the secure key.

The invention relates to the field of financial institution business, in particular to a remote financial institution question and answer method and system based on a fused knowledge graph and electronic equipment, and the method comprises the steps: distributing global unique identifiers for users, accounts and products, establishing attribute-identifier association rules and product mapping, deploying an identifier normalization module, and establishing an identifier normalization module; and constructing a user-salary card-repayment plan-house loan contract service relation chain, adding attributes and constraints of current balance and monthly repayment amount, generating a reasoning chain, processing a numerical value, and outputting a natural language answer. The method has the advantages that the same-name entities are distinguished through the unique identification, and account information confusion is avoided; secondly, product aliases are processed through normalization to ensure that attribute retrieval is accurate; and thirdly, a reasoning chain is complemented, numerical value comparison is processed, clear answers are provided for complex questions, and the question and answer accuracy and continuity of remote financial institutions are improved.

A method is performed by a source Central Unit (CU) in an Integrated Access and Wireless Access Backhaul (IAB) network. The method includes transmitting, by the source CU, a message requesting a handover of a plurality of migrating devices associated with a first IAB node migrating from the source CU to a target CU. The message comprises at least one globally unique identifier of at least one management function serving the plurality of migrating devices.

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.

The present disclosure describes systems and methods relating to full motion video (FMV) routing in one-way transfer (OWT) systems. The present technology enriches datagrams of the video stream that are sent from the low-trust side of the OWT system with a global unique identifier (GUID) that is used as an identifier to determine a particular destination on the high-trust side of the OWT system. The video stream may be encapsulated in a Secure Reliable Transport (SRT) header that includes the unique identifier. When the SRT-wrapped video stream is received on the high-trust side, the GUID in the SRT-header is extracted and used to identify destination addresses for destination devices in the high-trust computing environment. The video stream is then delivered to the destination devices having the corresponding destination addresses.

A system for integrating BIM and IoT data into a digital twin platform is provided, enabling real-time spatial monitoring, semantic referencing, and lifecycle management of building assets. The system comprises a BIM interface module, an IFC conversion module, a preprocessing module, and a data linking module. The BIM interface module receives external data to generate or update a BIM model. The IFC conversion module converts the BIM model into an IFC-compliant format with globally unique identifiers. The preprocessing module performs model federation and data normalization and includes subcomponents for geometry conversion to WebGL, semantic structuring, IoT spatial tagging, and level tagging. The data linking module serializes outputs, uploads them to object storage, and registers access URLs and attribute mappings in the platform database.

A globally unique identifier partition table (GPT) backup and recovery method and a related device are provided. The GPT backup method includes: specifying, in a storage medium, a backup partition for storing a backup GPT, where the backup partition is located outside a user partition in the storage medium; and writing the backup GPT to the backup partition during writing of a GPT to the storage medium. Through the technical solutions of the present invention, integrity of data of the user partition can be ensured when a non-GPT system is upgraded to a GPT system.

The invention discloses a virtual machine backup method and system, and the method comprises the steps: firstly analyzing a FusionCmopute management platform interface, obtaining backup data of a plurality of virtual machines, then sending a first request message comprising a global unique identifier VMID of the plurality of virtual machines on the management platform to a FusionCmopute platform, calling the resource use conditions of the plurality of virtual machines, and storing the resource use conditions of the plurality of virtual machines in the FusionCmopute management platform; the virtual machines are backed up on the basis of the resource use condition, when the resource use condition of the first virtual machine does not reach a preset threshold value, a backup task is initiated on the basis of backup data, and the first virtual machine is backed up to a corresponding backup storage position. According to the technical scheme, automatic backup of the virtual machines can be achieved, the virtual machines do not need to be manually backed up one by one, backup of the virtual machines is carried out when it is confirmed that the backup task can be executed according to the resource use condition, the risk of backup failure caused by resource conflicts is avoided, and therefore the reliability and efficiency of the backup task are effectively improved.

The invention provides a knowledge base authority management and control method and system for large-scale agent application, and relates to the technical field of knowledge base safety management and control. The method comprises the following steps: receiving a knowledge base access request data packet initiated by an agent agent, performing protocol analysis on the request data packet, and storing the analyzed request data packet into a database; extracting a unique identifier at least comprising an agent global unique identifier and a target knowledge unit; and querying an authority strategy library according to the agent identifier and the context information of the current task to obtain an authority strategy matched with the current task type. According to the invention, authority control targets of on-demand authorization, minimum authority and real-time response are realized.

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.

Embodiments of the present application provide a globally unique identification generation method and device, electronic equipment and storage medium, comprising: receiving a globally unique identification generation request of target data; generating a machine identification of a machine to which the target data belongs by using a raft algorithm; randomly generating a sequence identification and a table identification; and generating a globally unique identification of the target data based on the machine identification, the sequence identification and the table identification. Since the machine identification of the machine to which the target data belongs is generated by using the raft algorithm, and then the globally unique identification is generated, the globally unique identification can be generated without relying on third-party software, so that additional resources are not needed, and the globally unique identification can be generated with less deployment of resources.

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 disclosure describes systems and methods relating to full motion video (FMV) routing in one-way transfer (OWT) systems. The present technology enriches the datagrams of the video stream that are sent from the low-trust side of the OWT system with a global unique identifier (GUID) that is used as an identifier to determine a particular destination on the high-trust side of the OWT system. The enriched video stream is divided into its video stream and enrichment components, which are then filtered separately by a guard for the high-trust side. The filtered components may then be rejoined to reform the enriched video stream. When the enriched video stream is received on the high-trust side, the GUID in the datagram is extracted and used to identify destination addresses for destination devices in the high-trust computing environment. The video stream is then delivered to the destination devices having the corresponding destination addresses.