135 results about "Data delivery" patented technology

The invention relates to the technical field of block chain and smart home data management, discloses a smart home data contribution quantification and excitation method and system based on a block chain identifier, and aims to solve the data source problem of vertical large model training in the smart home industry and guarantee data security and personal privacy. The method comprises the steps of equipment identifier registration and binding, home local data processing and desensitization, data contribution degree quantitative evaluation, intelligent contract incentive execution and standardized data delivery and evidence storage. The system comprises a block chain identifier management module, a home edge data center, a data contribution quantitative evaluation module, an intelligent contract incentive engine and a large model training data delivery interface. According to the technical scheme, accurate tracing of data sources and clear definition of contribution subjects can be achieved, the family computing power is activated, the risk of data privacy disclosure is reduced, high-quality and scenarized credible data sources are provided, and marketization circulation and value conversion of smart home data elements are promoted.

The invention discloses a reinforcement learning routing optimization method considering a dynamic underwater sound environment and node mobility. The method comprises the following steps: performing parameter initialization on an underwater sensor network; monitoring and updating underwater environment parameters and node positions in real time, and dynamically updating a network topology connection state; during data transmission, constructing a multi-dimensional state vector, selecting a routing action by adopting an epsilon-greedy strategy, and generating a routing decision; if the data packet transmission fails when the routing action is executed, ending the iteration, otherwise, calculating a multi-target reward value; updating the Q value table to optimize the routing decision; and monitoring network performance indexes in real time, adaptively adjusting reinforcement learning parameters of the intelligent agent for next iteration, and outputting an adaptive routing selection model until an iteration termination condition is met. According to the method, time-varying channel and node mobility challenges can be intelligently dealt with, and multi-objective optimization balance of energy consumption, delay and stability is realized while the data delivery rate is remarkably improved.

Embodiments described herein comprise an advanced Software as a Service (SaaS) platform addressing challenges including trust, governance, quality, data accuracy, and transparency, ensuring full visibility of enterprise data warehouse data pipelines. These embodiments seamlessly integrate with cloud-based and legacy data platforms, enhancing visibility through monitoring data quality, tracking metadata changes, and generating exceptions for review. Data quality management allows for custom script creation to validate pipelines and business rules. Cloud-native connectors facilitate integration with one or more cloud-based services streamlining data delivery processes. Personalized notifications aid administrators in responsive action, while data profiling capabilities identify quality issues and provide distribution insights. Actionable data intelligence for privacy, security, and governance is enabled through data classification. Automation features encompass data quality checks, metadata monitoring, profiling, and classification, orchestrated by a flexible scheduler. The architecture leverages a scalable serverless design with independent microservices, dynamically scaling based on demand.

Techniques and systems are disclosed for managing the registration and communication of Internet-of-Things (IoT) devices with a Lightweight M2M (LwM2M) server using both Internet-Protocol (IP) and non-IP data bearers. The system registers the IoT client device with the LwM2M server using an IP data bearer to enable communication over the IP data bearer. The system monitors for a first condition, which includes the reception of a Monitoring Event (MONTE) event or a failure to receive a registration update message within a period corresponding to the registration lifetime of the IoT client device. Upon determining that the first condition is satisfied, the system evaluates device or network data to determine if a second condition is met and, if so, transmits a communication to the IoT client device instructing it to register with the LwM2M server using the non-IP data bearer.

The invention relates to a mixed channel industrial internet of things scheduling method based on information age and throughput, and belongs to the technical field of industrial wireless networks. According to the method, for a multi-node industrial Internet of Things system in which a fast unreliable channel and a slow reliable channel coexist, the overdue probability that the information age of the system exceeds a threshold value is minimized under the condition that the limited bandwidth constraint and the minimum throughput demand of all nodes are met. An original optimization problem is decoupled into a node link scheduling sub-problem and a scheduling node channel selection sub-problem, a channel parameter driven region division mechanism, random network distillation and deep reinforcement learning are adopted to cooperatively solve the two types of sub-problems, and a multi-node scheduling scheme formed by two sub-strategies is formed. According to the method, joint optimization of information age and throughput of multiple sensors under a mixed channel is considered, strict freshness of industrial wireless network data delivery is guaranteed, and differentiated throughput requirements of all nodes are ensured.

A SEALDD server may receive a request to establish a SEALDD flow, wherein the SEALDD flow facilitates a transfer of VAL data between a VAL client endpoint and a first VAL server endpoint, and wherein the request comprises at least one of VAL client endpoint information and first VAL server endpoint information. The SEALDD server may establish a SEALDD flow associated with the first VAL server and associated with at least one VAL client endpoint. The SEALDD server may subscribe to a core network and receive a notification from the core network indicating a UE mobility event associated with a UE upon which the VAL client is hosted. The SEALDD server may determine to transfer the VAL client to a second VAL server. The SEALDD server may transfer the SEALDD flow to a different SEALDD server associated with the second VAL server.

The invention relates to the technical field of data security and privacy computing, in particular to an ODRL-based trusted data space data delivery method and system, and the method comprises the following steps: defining data use permission and constraint through an ODRL strategy, verifying a user request by a control plane based on the ODRL strategy, and recording a structured log by a data plane through a protocol adapter factory; the method has the beneficial effects that through layered architecture design, ODRL deep integration, protocol irrelevant adaptation and full-link security auditing, the core problems of an existing data delivery scheme in the aspects of authority management, transmission flexibility, performance and compliance are systematically solved, and a universal and highly reliable technical solution is provided for trusted data space construction; and the data circulation efficiency and security are remarkably improved, and the method has wide industrial application value.

The invention relates to an information age optimization scheduling method for semantic communication of the Internet of Vehicles, and belongs to the technical field of mobile communication. According to the method, a hybrid reinforcement learning framework is constructed for a semantic communication system in which a roadside unit updates information to multiple vehicles in an Internet of Vehicles scene, and the long-term average information age of the system is minimized by jointly optimizing a vehicle scheduling and semantic extraction ratio selection strategy. A hybrid action space in which discrete decisions of vehicle scheduling and continuous control decisions of a semantic extraction ratio coexist is considered, a deep Q network is combined with a near-end strategy optimization algorithm, a state space containing information age and a transmission rate is constructed, a joint action selection strategy is designed, and a vehicle scheduling state is optimized. The risk balance problem between semantic extraction ratio reduction and semantic information distortion is effectively balanced. According to the method, the strong coupling characteristic of the decision variable in the mixed action space is fully considered, and the freshness of data delivery in the semantic communication network of the Internet of Vehicles is guaranteed while the transmission efficiency of the system is effectively improved.

The invention discloses an audio channel verification method and device, equipment, a storage medium and a program product, and relates to the technical field of communication. According to the method, under the condition that a data issuing interface receives audio algorithm data sent by an upper-layer application, the audio algorithm data is packaged into an RTAC format to obtain real-time audio calibration data; the audio link state of the digital audio processor is obtained through the real-time audio calibration module, under the condition that the audio link state is a creation state, a data issuing thread is started, and real-time audio calibration data are sent to the digital audio processor through the real-time audio calibration module. The digital audio processor is used for processing the real-time audio calibration data to obtain a return value and sending the return value to the real-time audio calibration module; and starting a result callback thread, obtaining a return value from the real-time audio calibration module through a result callback interface, and performing audio channel verification according to the real-time audio calibration data and the return value to obtain an audio channel verification result. According to the embodiment of the invention, the audio channel verification flexibility is improved.

The invention discloses a financial data privacy extraction method based on generative artificial intelligence and a storage medium, and belongs to the technical field of computers. The method comprises the steps of multi-modal bank data asset atlas construction, intelligent data privacy grading, federated generation model construction, cross-domain data joint reasoning, synthetic data generation application, data authority dynamic management, full-link early warning, privacy risk assessment, data delivery and the like. The financial data extraction efficiency and precision are improved, the data security and privacy are guaranteed, the system is universal and extensible, the financial data value is released, the system is suitable for financial institution data management, and the financial data extraction efficiency and precision are improved. A computer program for implementing the method is stored in the storage medium.

This invention relates to the field of pumped storage power station simulation technology, specifically providing a method and apparatus for converting a 3D model of a pumped storage power station into a standard format. The method includes: extracting 3D model information of the pumped storage power station from a 3DE platform; constructing a lightweight BIM model data structure corresponding to the nodes of the 3D model in memory based on the 3D model information; constructing a hierarchical element structure according to the BIS standard based on the lightweight BIM model data structure; and exporting it as a standard format file of the pumped storage power station 3D model. This solution enables the export of a 3D model of a pumped storage power station into a standard format, overcoming the limitations of the native export function of 3DE, achieving full information conversion of the BIM model, ensuring that the geometric and attribute information of elements in the model is not lost, improving data conversion efficiency, reducing manual intervention costs, and achieving seamless data flow and shared application, meeting the data delivery and application needs of various scenarios in the infrastructure field.

A waybill data processing method, comprising: acquiring waybill data, wherein the waybill data includes attribute field data corresponding to a plurality of waybill attribute fields; receiving waybill call request information of a waybill data caller; on the basis of the waybill call request information, obtaining a required waybill attribute field of the waybill data caller; and when a waybill data delivery condition corresponding to the waybill data caller is triggered, sending to the waybill data caller target attribute field data corresponding to the required waybill attribute field in the waybill data.

The embodiment of the invention is suitable for the technical field of communication network management, and provides a network configuration data issuing method, electronic equipment and a computer program product, and the method comprises the steps: obtaining business intention information; the service intention information comprises network requirements and scene types; determining logical topology information according to the network requirement and the scene type; generating network configuration data according to the logical topology information and a preset resource pool; and issuing the network configuration data to each target device corresponding to the logical topology information. According to the embodiment of the invention, the convenience of generating and issuing the network configuration data can be improved, so that the automatic configuration efficiency of the network and the operation and maintenance efficiency of the network are improved.

The invention relates to a power enterprise data asset cross-department sharing intelligent cooperation method and system, and the method comprises the steps: S1, obtaining multi-source data of each business system, an Internet of Things terminal and a historical database of a power enterprise, and constructing a multi-dimensional knowledge graph; s2, semantic understanding is carried out based on an NLP large model according to data requirements of a user, the requirements are automatically converted into structured asset query conditions, key entities in the requirements are automatically analyzed and expanded in combination with a multi-dimensional knowledge graph, and standardized requirements are obtained; s3, recommending the most relevant and most matched data assets and responsible departments by adopting a graph neural network algorithm, judging whether the demand relates to cross-department and multi-data fusion or not, and automatically decomposing to generate a multi-node collaborative work order; s4, generating a deliverable data set through AI driven approval, automatic processing suggestion and sensitivity detection according to the collaborative work order; and S5, according to the user characteristics, determining an optimal data delivery mode to carry out data delivery. According to the method, the data sharing and cross-department cooperation efficiency is remarkably improved.

According to the single-cell-oriented energy storage big data reliable transmission method and device and the storage medium provided by the embodiment of the invention, firstly, differentiated reliability levels are allocated according to the content type of a data packet, and are positively associated with coding redundancy; furthermore, the coding strategy can be dynamically optimized along with the network state by acquiring the link quality parameter in real time and positively associating the channel deterioration degree with the coding redundancy; and finally, after the acknowledgement feedback is received, selective retransmission is triggered only for the data blocks which are not successfully delivered. According to the invention, accurate retransmission control is realized, unnecessary retransmission data volume is effectively reduced, the probability of transmission delay and channel conflict is reduced, the method is especially suitable for a narrowband link or a high packet loss environment, and data delivery timeliness and link utilization efficiency are improved.

An optical power and data delivery system includes an optical base station and an autonomous wireless hotspot device. The optical base station includes routers, a media converter device, a optical data transceiver configured to transmit the received data laser light beam; one or more power laser devices configured to transmit a power laser light beam, a beam combining device to generate and transmit a combined power and data laser light beam through a first optical antenna. The autonomous wireless hotspot device includes a second optical antenna configured to receive the combined data and power laser light beam, an optical dividing device, an optical data transceiver, a media converter device and wireless communication transceivers to transmit wireless data signals and one or more laser power converters to receive the power laser light beam and to convert the power laser light beam into electrical energy.

The present application belongs to the field of highway engineering information technology, in particular to a multi-standard EBS decomposition method and system based on highway engineering design information, the method comprising the following steps: S1, obtaining highway engineering design results and extracting design data; S2, performing data conversion on the design data according to a configuration file to obtain structured intermediate data; S3, converting the structured intermediate data into one or more EBS standard data according to an EBS standard algorithm. Based on this idea, the efficiency of data delivery is greatly improved, and the difficulty of data import for designers is reduced, and designers no longer need to consider different EBS standards, and design data can quickly generate data of different EBS standards.

The application discloses a kind of dynamic networking quick deployment methods for portable repeater, it is related to communication technical field, the method includes: step S1: in target repeater acquisition first heterogeneous parameter, monitoring initial relay parameter;Step S2: by monitoring route convergence time, abnormal node is screened out, and abnormal heterogeneous parameter and abnormal relay parameter are marked;Step S3: using abnormal heterogeneous parameter calculates first channel index, and then calculates correction relay parameter;Step S4: running correction relay parameter and acquisition second heterogeneous parameter, calculate second channel index and compare with first channel index, complete networking or return to execute step S3.The application is by acquisition heterogeneous parameter of heterogeneous service state, constructs channel index and accurate mapping model, realizes the continuous optimization congestion process of dynamic networking of self-convergent, with the advantages of improving data delivery success rate when dynamic networking and the beneficial effects of improving overall dynamic networking regulation efficiency.

The invention relates to an edge system with a dual-processor architecture, which integrates a broadband processor and an enterprise network processor through coordinated function configuration. The service level of the packet flow is divided by the post-provisioning data and the telemetry data, and it is determined whether to transmit the packet by the broadband processor or to selectively perform a high-order function, such as deep packet detection, data encryption, or data compression, by the enterprise network processor. Embodiments include logical coupling of virtual area networks, a signalling mechanism of segment routing / micro identity identification, a transport mechanism of memory sharing and without duplication, and a hybrid coupling combining logical control and data transport entity structures.

A method for communication by a user equipment (UE) in a wireless communication system is disclosed. The method may comprise the steps of: transmitting, to a network entity, a new state-data delivery request message; and receiving, from the network entity, a new state-data delivery response message in response to a first message, wherein the new state-data delivery response message may include an information element related to the delivery of new data.

Embodiments of the present application may provide apparatus, systems and methods for supporting services, including extended reality (XR) services. According to some embodiments, a mobile network architecture includes an application control function (ACF) that interacts with an application function (AF) to provision parameters such as device group information, data session details, and quality of service (QoS) profiles. In some embodiments, the session management function (SMF) facilitates data session establishment by coordinating with access networks (ANs) and other components. In some embodiments, packet handling for groups of devices, such as in XR applications, may be performed by the AN or a node within the AN. Embodiments may enhance scalability for XR services, improve resource utilization, and support reliable, resource-efficient data delivery. These systems may dynamically adapt to group-level requirements, improve delivery of application data and experience across diverse applications.

The invention provides a dual-Bluetooth connection management method and a dual-Bluetooth connection management system. The dual-Bluetooth connection management method and the dual-Bluetooth connection management system are suitable for an electronic device comprising a first Bluetooth unit and a second Bluetooth unit. The first Bluetooth unit is connected with a first electronic device through a first wireless network so as to obtain first identification data corresponding to the first electronic device, and carries out authentication operation with the first electronic device according to the first identification data. And when the authentication operation is completed, establishing a connection white list according to the first identification data, and simultaneously providing the connection white list to the first Bluetooth unit and the second Bluetooth unit for use. The second Bluetooth unit receives data transmission of the first electronic device in the corresponding connection white list.

Embodiments herein relate to QoS measurement. Some embodiments propose a method (700) performed by a first network function (212) implementing a Service Realization Architecture Layer (SEAL) Data Delivery (DD) server. In one embodiment, the method may include a step (S701) of sending a subscription message to a Vertical Application Layer (VAL) User Equipment (UE) (201) to request a report of transmission quality measurements for VAL UE (201) traffic, the VAL UE (201) including a first functional component (222) implementing a SEAL DD client. In one embodiment, the method may further include a step (S703) of receiving a notification message from the VAL UE (201) to provide a report of multiple measurement results of the transmission quality measurements. Embodiments herein may enable a SEAL DD client to support data transmission quality measurement requirements and a SEAL DD client configured to initiate a data transmission quality measurement procedure.

The application is a BIM deepening method for rapid construction of an automobile factory building, comprising: step 1, standardizing BIM team management, determining a BIM project leader and a BIM engineer; step 2, site planning, BIM deepening design, collision detection and design optimization, 4D progress simulation; step 3, parameterized establishment of family library models, and sharing of parameters; step 4, rapid deepening by using technologies such as Dynamo; step 5, rapid auxiliary deepening by using secondary development plug-ins; step 6, a lightweight browsing and checking model platform; step 7, prefabricated processing based on BIM technology; and step 8, BIM data delivery. In the BIM deepening design of a new energy factory building, the application increases the method of rapid modeling construction, and through parameterized programming, Dynamo technology or other same type rapid modeling software, rapid remodeling is realized, so that the deepening design time and construction period are greatly reduced, and the rapidity, safety and quality of construction are guaranteed.

The invention provides a data delivery method, device, medium and system, and the method comprises the steps: determining a target privacy calculation protocol according to a data type and a privacy level before data delivery, or determining the target privacy calculation protocol according to the data type; binding a data use constraint, a privacy calculation parameter and a participant digital identity by adopting an intelligent contract; and according to the target privacy calculation protocol and the bound smart contract, constructing a data delivery application program, and executing the data delivery application program to complete data delivery, the data delivery application program being an application program matched with the data product type. The problem that in the prior art, a unified application program development standard is not formed, so that data delivery tools are fragmented, and compatibility is poor is solved.

Embodiments of the present application disclose a data delivery method and device, a storage medium and an electronic device, wherein the method comprises: receiving a data acquisition request from a data requester, analyzing the data acquisition request to obtain condition dimension information, delivery dimension information and a data filtering rule; performing condition matching in a public dimension wide table based on the condition dimension information, so as to determine at least one associated object based on a matching result of the condition matching; obtaining delivery data of each associated object based on the delivery dimension information, and generating full-amount period data based on the delivery data of each associated object; and performing data filtering on the full-amount period data according to the data filtering rule, so as to obtain delivery full-amount data of a current period, and delivering the delivery full-amount data of the current period to the data requester in a determined delivery mode.

A fault-tolerant data delivery method and a related apparatus, which are used for reducing the data transmission latency. The fault-tolerant delivery method provided in an embodiment of the present application comprises: when a data unit is erroneously received, a terminal acquiring reception status information of the data unit, wherein the reception status information indicates the status of erroneously received and / or correctly received bits within the data unit; and the terminal then delivering to an upper layer part or all of data in the erroneously received data unit, and the reception status information.

An optical power and data delivery system includes an optical base station and an autonomous wireless hotspot device. The optical base station includes routers, a media converter device, a optical data transceiver configured to transmit the received data laser light beam; one or more power laser devices configured to transmit a power laser light beam, a beam combining device to generate and transmit a combined power and data laser light beam through a first optical antenna. The autonomous wireless hotspot device includes a second optical antenna configured to receive the combined data and power laser light beam, an optical dividing device, an optical data transceiver, a media converter device and wireless communication transceivers to transmit wireless data signals and one or more laser power converters to receive the power laser light beam and to convert the power laser light beam into electrical energy.

Embodiments of the present disclosure provide methods and network functions and communication network for data delivery. A method (200) for data delivery performed by a first network function (10) comprises: receiving (S2042), from a second network function (20), a request for a subscription for data delivery including a first indication indicating at least one first protocol the second target network function prefers to be used for data delivery; sending (S2043), to the second network function (20), a response for the subscription including a second indication indicating a second protocol selected; sending (S205, S205' ), to the target network function, data to be delivered, via the second protocol.