209 results about "Data delivery" patented technology

An unmanned aerial vehicle (UAV) agent for forming a two-tier hybrid smart agriculture network architecture is provided. The UAV agent is configured to support two communication protocols, a short-range communication protocol and a long-range communication protocol. The agriculture sensor gathers agriculture data such as soil temperature and participates in a first-tier short range wireless communication network to send the collected data to at least one UAV agent. A UAV agent participates in one or more first-tier short-range communication networks to pick up sensor data from agriculture sensors in one or more clusters and also participates in a second-tier long-range communication network to route the collected sensor data to at least one cloud server. The tasks in both tier networks are formulated as optimization problems to achieve optimal data delivery and solved by using multi-agent reinforcement learning (MARL), which is implemented by the invented Focus Coordination Multi-Agent Deep Deterministic Policy Gradient (FC-MADDPG) algorithm.

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.

The invention relates to a wireless network scheduling method based on information age and data importance, and belongs to the technical field of wireless networks. According to the method, for a wireless network in which a plurality of sensors transmit state updating data packets to a central node under unreliable multiple channels, the average weighted sum of information age and received data of a system is minimized under the condition that the processing capacity of the central node and the number constraint of the wireless channels are met. An original optimization problem is decoupled into link selection between sensor nodes and channel allocation between scheduling nodes, and a state space and an action space for solving the problem are reduced by adopting an approximate optimal solution sorting method and a deep Q network, so that a scheduling scheme consisting of a main strategy and a sub-strategy is obtained. According to the method, joint optimization of information age and data importance of multiple sensors under multiple channels is considered, so that the freshness of wireless network data delivery is ensured, and reliable transmission of important data is ensured.

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 is suitable for the technical field of processors, and particularly relates to a speculative wake-up-based data forwarding optimization system and method and related equipment. According to the method and the device, the data forwarding flag bit and the data forwarding pipeline number are set for the to-be-executed instruction, and whether the to-be-executed instruction needs to be subjected to data forwarding or not is judged according to the data forwarding flag bit; if yes, the instruction to be executed needs to obtain the corresponding source operand from the front instruction, data forwarding needs to be carried out, and the source operand is read from the corresponding pipeline of the assembly line according to the serial number of the data forwarding pipeline; and if the data forward flag bit is the second data forward flag bit, the instruction to be executed does not need to acquire the source operand from the front instruction and is directly read from the physical register, so that resource conflicts are reduced. Compared with the prior art, the method has the advantages that the logic level of the data forwarding behavior can be effectively reduced, and the running efficiency and performance of the processor are improved.

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 discloses a medical article delivery management method and system based on the Internet of Things, and relates to the technical field of medical article delivery management. The medical article delivery management method based on the Internet of Things comprises the following steps: monitoring base station coverage interference; monitoring the communication qualification of the cold-chain medical articles; and sensor data uploading accuracy monitoring. According to the method, whether cold-chain medical article communication eligibility evaluation is carried out or not is judged, if the cold-chain medical article communication eligibility evaluation is not carried out, data are uploaded to a medical article delivery center, if not, whether cold-chain medical article communication eligibility optimization measures are taken or not is determined, and finally after the cold-chain medical article communication eligibility evaluation is carried out, the cold-chain medical article communication eligibility optimization measures are taken. According to the method and the device, the effect of improving the accuracy of data delivery in the process of delivering the cold-chain medical articles to the remote area is achieved, and the problem of low accuracy of data delivery in the process of delivering the cold-chain medical articles to the remote area in the prior art is solved.

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 application discloses a data issuing method, an uploading method and related devices, and relates to the technical field of data processing. The data issuing method comprises the following steps: when a network issuing instruction is received, a first direct storage access request is initiated according to a first issuing descriptor, first issuing data packets are acquired from a storage area, and the first issuing data packets are transmitted to a first device through a first issuing virtual queue; when a computing acceleration issuing instruction is received, a second direct storage access request is initiated according to a second issuing descriptor, second issuing data packets are acquired from the storage area, the second issuing data packets are stored in a cache, the second issuing data packets are transmitted to a target processing module for processing according to a protocol frame type of the second issuing data packets, a response frame is generated, and the response frame is returned to an upper computer, so that the technical problem that a heterogeneous accelerator design is complex when multifunctional data transmission is implemented in the prior art is solved, and data transmission of network functions and computing acceleration functions under the management of a same virtual queue is implemented.

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.

The application discloses a data issuing method and device, electronic equipment and a storage medium, wherein the method comprises the following steps: obtaining device information of a traffic entry terminal; calculating a traffic interval to which the terminal belongs according to the device information; selecting matching target operation data from a plurality of operation data according to the traffic interval, and issuing the target operation data to the terminal, wherein each operation data in the plurality of operation data corresponds to an operation strategy. Through the application, the device information of the traffic entry terminal is used to determine the traffic interval to which the terminal belongs, the corresponding target operation data is matched for different traffic intervals, and the shunting display of terminal traffic is realized.

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.

The invention relates to a data delivery method based on data elements, and relates to the technical field of data processing, the method comprises the following steps: receiving a data acquisition request sent by a data demander, the data acquisition request comprising a demander identifier and feature information of required data elements; matching with data in a plurality of data sources based on the feature information to obtain to-be-delivered data; preprocessing the to-be-delivered data to generate a first data packet conforming to a preset transmission protocol; determining a security level corresponding to the demand side identifier, determining an encryption algorithm corresponding to the security level according to the security level, and performing encryption processing on the first data packet based on the encryption algorithm to generate a second data packet; and acquiring real-time network state data, determining a target data transmission path through a path selection algorithm based on the real-time network state data, and transmitting the second data packet to the data demander based on the target data transmission path, thereby improving efficiency, security and reliability in a data delivery full link.

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.

A Multi-Purpose Dynamic Simulation and run-time Control platform includes a virtual process environment coupled to a physical process environment, where components / nodes of the virtual and physical process environments cooperate to dynamically perform run-time process control of an industrial process plant and / or simulations thereof. Virtual components may include virtual run-time nodes and / or simulated nodes. The MPDSC includes an I / O Switch which delivers I / O data between virtual and / or physical nodes, e.g., by using publish / subscribe mechanisms, thereby virtualizing physical I / O process data delivery. Nodes serviced by the I / O Switch may include respective component behavior modules that are unaware as to whether or not they are being utilized on a virtual or physical node. Simulations may be performed in real-time and even in conjunction with run-time operations of the plant, and / or simulations may be manipulated as desired (speed, values, administration, etc.). The platform simultaneously supports simulation and run-time operations and interactions / intersections therebetween.

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 present invention relates to the field of data center technology, and discloses a data center service data delivery control method and system. The method determines the user type and service operation time period of each service data scheduling user at the initial moment of a target data delivery control period, generates a scheduling priority for each service data scheduling user, and a service data delivery request list consisting of the service operation time period and the deployment requirements of a calling data center. The method then queries the deployment status of distributed data centers, uses a constructed constraint set and optimization objectives, and solves the data center access policy for each service data scheduling user in the target data delivery control period to control access, data delivery, and reception of distributed data centers. Thus, by achieving intelligent data center scheduling access in response to scheduling requests from different service data scheduling users and the deployment status of distributed data centers under high real-time and high disaster recovery requirements, the quality of service operation is improved.

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.