743 results about "Data Web" patented technology

The invention belongs to the technical field of logistics information, and discloses a multimodal transport trusted data space construction method based on privacy calculation and a block chain. The method comprises the following steps: deploying a modular intelligent data gateway at a core node of a multimodal transport line, unifying the format of multi-source heterogeneous original data, and chaining a hash value; after the multi-source heterogeneous data is subjected to customization processing, key metadata attributes of all the data are registered and linked in real time; constructing a core ontology model, and establishing a cross-domain semantic interoperation capability; establishing a privacy calculation and block chain collaborative dual-channel architecture, and cooperatively training an ETA prediction model in a local data isolation environment by adopting transverse federal learning to ensure that original trajectory data is not out of a domain; constructing a dispute arbitration and credible verification system, and realizing an arbitration process of judicial verification when a transportation dispute occurs; data minimization disclosure and compliance sharing are achieved through dynamic access control. According to the method, multimodal transport data can be available and invisible, and the whole operation process can be audited.

The invention discloses a substation dispatching data network security communication method based on quantum tunnel encryption, relates to the technical field of large-scale power grid security assurance, and aims to solve the problems of endpoint security loss, boundary solidification, weak quantum threat resistance and inflexible deployment of a dispatching data network. According to the method, the establishment of a secure session and the encapsulation, encryption and restoration of data are realized by integrating quantum key distribution and a post quantum cryptographic operation module through quantum secure communication terminals deployed in a dispatching master station and a transformer substation. According to the method, application layer encryption and signature are carried out on telecontrol protocol data, a double-layer encryption tunnel is constructed, and transmission of various physical network media is supported. By means of the scheme, end-to-end protection is achieved, quantum attacks are effectively resisted, double encryption is provided, and networking flexibility and smooth evolution are improved.

System and methods are provided for achieving data standardization and normalization through an Agnostic Data Format (ADF) architecture. ADFs systems and processes provide a transformative bridge, enabling disparate data sources to converge into a unified and standardized format within the Real-Time Data Mesh (RTDM) framework. This dynamic process utilizes Artificial Intelligence (AI) and Machine Learning (ML) algorithms to interpret and align diverse data attributes. The ADF management system, integrated into a dynamic event-driven architecture, allows vendors to interact with RTDM by translating and standardizing their data. The synchronized data integrates canonically, incorporating real-time updates and collaborative decision-making across the distribution platform. This innovative approach enhances operational efficiency, enables data-driven decision-making, and provides users improved ability to use data within the distribution ecosystem.

The invention provides a printing color consistency automatic calibration and management system and method, and the method comprises the steps: collecting a current environment temperature and humidity ink matching parameter density curve data dot increase compensation parameter in real time through a state detection device, and forming a current state data set; performing similarity analysis on the reference data set and the current state data set by adopting a matching degree evaluation algorithm, and judging a relationship between a matching degree numerical value and a preset threshold value; adjusting and correcting the calibration reference value and the color control parameter in the reference data set according to the offset compensation set to obtain a compensated and adjusted parameter set; on the basis of the compensated and adjusted parameter set, generating update code data by combining a current time identifier and an operator identifier, and forming new two-dimensional code information; and outputting the new two-dimensional code information to a subsequent work order carrier by adopting a code generation module, and establishing a parameter transmission tracing chain.

Techniques are disclosed for sending downloadable software packages that may be executed to perform tests of a network device without requiring the network device to update firmware. In one example, the network device obtains a software package comprising instructions for simulating a network instance and stores the software package in a volatile memory of the network device. The network device simulates, based on the instructions, the network instance to obtain data indicative of a performance of the network instance. The network device sends, via a communication channel established with a network management system (NMS) based on the software package, the data indicative of the performance of the network instance. In some examples, the NMS uses the data indicative of the performance of the network instance to identify a root cause of a failure of the network device or a remedial action to be performed upon the network device.

Aspects of the disclosure relate to providing a secure large language model data platform. The secure large language model uses a machine-learning large language model and gateway to prevent attacks and unauthorized access to enterprise-managed information and resources. The secure large language model may utilize pre-enrollment at a secure gateway providing a unique identification to each client. A private / public key pair may be generated and stored in the secure gateway database and large language model respectively. In some embodiments, a unique anonymization rule set may be generated and used for each client. Threat actors cannot query the large language model directly based on the pre-enrollment process. Unauthorized requests cannot be decrypted by the large language model due to missing paired keys.

The invention relates to the technical field of telecommunication. By providing the multi-domain strategy collaborative dynamic decision optimization method, system, equipment and medium, the method comprises the following steps: extracting cross-domain common characteristics of network layer topology, equipment state and alarm information, retaining differential characteristics of a transmission network and a data network, and generating a uniform resource data set; on the basis of the unified data set, a global optimization strategy is generated through linkage decision making of a three-level collaboration module; matching the strategy into an atomic instruction set executable by a heterogeneous network manager by utilizing semantic ontology mapping and syntax tree matching; and according to the instruction execution feedback data, dynamically adjusting the strategy weight and carrying out iterative optimization, and generating an updated global strategy, so as to achieve the technical effects of improving the cross-domain resource perception precision, enhancing the hierarchical decision collaborative efficiency and reducing the multi-manufacturer instruction conversion error rate.

The invention relates to the crossing field of supply chain management and block chain technologies, discloses a block chain-driven circulating packaging ownership tracing and reuse optimization system, and solves the problems that existing circulating packaging ownership tracing is not credible, the reuse rate is low, data sharing is barrier and settlement is low in efficiency. The system comprises a sensing layer, a network layer, a block chain layer and an application layer, wherein the sensing layer collects and packages full life cycle data; the network layer carries out preprocessing and 5G data transmission; the block chain layer adopts an alliance chain to deploy ownership change, full life cycle records and privacy protection contracts; the application layer is internally provided with a core unit for XGBoost demand prediction and genetic algorithm scheduling, and functions of ownership tracing, multiplexing scheduling and the like are realized. Implementation shows that the ownership tracing credibility is 100%, the reuse rate is improved to 90% or above, the settlement time is shortened from 3 days to 1.5 hours, and the method is suitable for circulating packaging scenes such as cold chains.

The present invention provides a data network, a data ingestion system and a method of data ingestion in the data network for a supply chain management enterprise application. The data network includes one or more data objects of different data types received from different data sources structured on multiple distinct architecture, connected to each other for executing multiple functions in the enterprise application.

A system for event-driven distributed data network analysis, the system includes: a multitude of domain data nodes, each comprising a stream storage, a multitude of transformation pods, and a product API, with each domain data node ingesting heterogeneous event streams, validating schema compliance, performing enrichments, and making data products available under versioned schema contracts; each domain data node further comprises a hardware-based edge intelligence appliance comprising an enclosure, a compute module with heterogeneous processing units selected from CPUs, GPUs, and TPUs, a secure enclave module for confidential execution of transformation code on encrypted data, a protocol-structured stream storage medium supporting multi-level retention, and industrial I / O interfaces configured for direct interaction with sensors, programmable logic controllers, and cloud-native services; an event mesh backbone processor configured to connect the multitude of domain data nodes via a publish-subscribe architecture, with the backbone guaranteeing exactly one-time delivery, partition-level sorting, and geo-replicated durability; a Contextual Intelligence Engine coupled with the Event Mesh Backbone processor, the engine comprising a semantic graph memory and a Streaming Graph Reasoner configured to map raw events into an ontology, perform graph joins in real time, and recognize composite causal patterns across multiple domain data nodes; a governance and policy control unit integrated into both the data and control layers. This layer enforces zero-trust security, role-based access control, real-time provenance tracking, and regulatory compliance; and An actuation interface coupled with the contextual intelligence engine and the governance layer. The actuation interface is configured to generate control commands for operational technology devices and digital workflows, thus closing the loop from data acquisition to autonomous decision-making.

This application relates to a communication method and apparatus. The method includes: A first SMF network element receives first information from a PCF network element, where the first information includes an identifier of a first dedicated data network to which a terminal device subscribes; the first SMF network element sends a first request including the identifier of the first dedicated data network to a second SMF network element that supports the first dedicated data network; the first SMF network element receives, from the second SMF network element, a first response including second tunnel information of a second UPF network element, where the second UPF network element is a UPF network element selected based on the first dedicated data network; and the first SMF network element sends second information to a first UPF network element, where the second information includes the second tunnel information and a first traffic steering rule.

The invention relates to the technical field of IT support, and provides a time sequence processing method, device and equipment adopting a quantum pulse neural network, and the method comprises the steps: obtaining time sequence data which comprises network alarm data, network equipment performance index data and network operation and maintenance work order data; encoding the time sequence data into a first quantum state by using a quantum preprocessing layer, inputting the first quantum state into a pulse neural network layer, converting the first quantum state into a time sequence pulse sequence, and processing the time sequence pulse sequence to obtain an output result; by utilizing a quantum attention enhancement mechanism, calculating attention weight of an output result in a quantum state space, and weighting to obtain a second quantum state; and decoding the second quantum state by using the hybrid decoding layer to obtain a final prediction result. The final prediction result is used for realizing fault root cause positioning, abnormal work order identification or network service quality prediction. According to the method, the parallelism of quantum calculation and the superposition characteristic of the quantum state are utilized, and the calculation efficiency can be improved when large-scale time sequence data are processed.

The invention discloses a 5G industrial gateway rapid networking method and system, and the method comprises the steps: building a routing protocol neighbor relation between an industrial gateway and a server module and a core network module, and synchronizing a link state database; and respectively executing a shortest path priority algorithm on the three nodes, and calculating respective shortest paths to other nodes according to the link state database so as to generate respective optimal IP routing tables. When the industrial gateway receives a first data packet, the industrial gateway forwards the first data packet to a core network module through a base station and a private network bearer network according to an internal optimal IP routing table and a target IP address in the first data packet; and the core network module forwards the first data packet to the data network module according to the optimal IP routing table and the target IP address in the core network module. According to the invention, link state databases of the industrial gateway, the server module and the core network module are synchronized through a routing protocol, so that each device masters the topological structure of the whole network, and dynamic addressing of the industrial network is effectively supported.

The invention provides a supply and demand matching degree-based multi-target collaborative optimization scheduling system for a light storage building group, and the system comprises a sensing layer which is used for collecting the physical operation state data of the light storage building group in real time; the network layer is used for transmitting data to the control layer; the control layer is used for generating a global scheduling plan by taking maximization of the comprehensive supply and demand matching degree as an optimization target according to the supply and demand matching degree prediction information of the first scale and the time-of-use electricity price information of the power grid; according to the supply and demand matching degree prediction information of the second scale and the physical operation state data, performing rolling correction on the global scheduling plan to generate a correction instruction; according to the supply and demand matching degree prediction information of the third scale and the physical operation state data, performing local autonomous judgment on the correction instruction, and triggering a local response when supply and demand fluctuation is detected; and the application layer is used for displaying the data acquired by the sensing layer and / or the output data of the control layer, so that the self-balancing capability of the system is fundamentally improved.

The invention provides a communication method and device and a computer readable storage medium, relates to the field of communication, and aims to obtain a personalized package so as to effectively improve the service experience of a user. The method comprises the following steps: a network data analysis function sends multi-dimensional perception data to an operation agent, wherein the multi-dimensional perception data comprises data obtained by carrying out at least one of the following processing on data reported by a plurality of network function network elements by the network data analysis function: network perception processing, user perception processing or service perception processing; correspondingly, the operation agent receives the perception data and generates a personalized package based on the multi-dimensional perception data.

System and methods that improve the use of network functions on edge data networks are disclosed. A mechanism that supports edge-assisted UE context and trigger collection is described herein, where a UE can actively send its context information and / or any trigger (e.g. a request for a network function / service to be deployed in edge data networks, etc.) to an edge enabler server, which processes the received context and triggers from its UEs. The edge enabler server may also forward UE context and triggers to 5G core network (5GC) upon receiving a solicitation request from the 5GC, or if the 5GC has already made a subscription for getting notification on UE context and triggers. A network repository function is provided as a new network function collect, store, and manage edge data network information.

The invention relates to a network resource flexible scheduling method, system and device and a medium. The method is applied to a backbone transmission network and data network intelligent management and control system. The method comprises the following steps: disassembling network resources into a plurality of atomic power units in a virtualization layer, marking dynamic attribute tags for the atomic power units to obtain an atomic power library, and generating a trigger event when a real-time performance index exceeds a preset threshold value; according to the trigger event, the atomic power library and the alarm knowledge graph, carrying out combination optimization on the atomic power units to generate a resource combination scheme, and calling a three-dimensional topology model to carry out pre-verification on the resource combination scheme; and according to the execution scheme, carrying out capacity expansion and shrinkage operation on the atomic power unit through the virtualization layer, adjusting a load balancing weight based on real-time flow distribution, and generating a resource allocation result. According to the method, dynamic cooperative scheduling of network resources is realized, and the service quality and the operation efficiency of a backbone transmission network and a data network are improved.

A method performed by a distributor function for handling a subscription to expose Internet protocol Multimedia Subsystem (IMS) exposure data in a communications network is provided. The exposure data is related to a User Equipment (UE) connected to an IMS network comprised in the wireless communications network. The distributor function is comprised in any one out of a first network node or a first IMS node. The distributor function receives (1001) a request requesting a subscription to expose IMS exposure data related to the UE. The request is originating from a second network node operating outside of the IMS network. The distributor function obtains (1002), from a locator function, data identifying a second IMS node supporting exposure capabilities and serving the UE. The locator function is comprised in any one out of the first IMS node or a third network node. The distributor function sends (1003) to the identified second IMS node, a subscription request to expose data related to the UE. The subscription request instructs the second IMS node to notify a network exposure function of a triggering occurrence fulfilling a triggering condition, to expose exposure data, when detected by the second IMS node. The network exposure function is located in the first network node. The notification enables the network exposure function to notify the second network node of the detected triggering occurrence.

Methods, apparatus, and systems are described for improved edge network access for a UE. According to some aspects, a UE may receive a first Data Network Name (DNN) from an application and determine, based on a Data Network Name (DNN) Replacement Rule, the first DNN is associated with a second Data Network Name (DNN), where the first DNN and the second DNN are different. The UE may determine, based on the DNN Replacement Rule, to associate traffic from the application with a Protocol Data Unit (PDU) Session, where the PDU Session may be used to send data from the application to a network and the PDU Session is associated with the second DNN.

The invention belongs to the technical field of energy station management, and particularly relates to a comprehensive energy station management system based on a light storage and charging micro-grid, and the system comprises a sensing layer which is used for collecting the real-time operation data of a photovoltaic facility, an energy storage system, a charging pile and an environment; the network layer is used for transmitting data of the sensing layer in real time and establishing two-way communication with a power grid dispatching center at the same time; and the application layer is used for realizing energy optimization scheduling, equipment cooperation, fault early warning and power grid interaction according to the data transmitted by the network layer. The AI dynamic energy scheduling module, the prediction model module, the optimization model module and the solving module are arranged, so that the energy utilization efficiency can be improved, the light abandoning rate can be greatly reduced, the electricity purchasing cost can be remarkably reduced, and economic optimization is realized.

The invention discloses a circuit netlist conversion method, a circuit netlist conversion control method and a circuit netlist conversion control device. The method comprises the steps that a circuit netlist is obtained and analyzed, netlist intermediate data are constructed, the netlist intermediate data comprise netlist element data and netlist topological data, the netlist element data are used for representing electrical parameters of circuit elements, and the netlist topological data are used for representing the connection relation of the circuit elements; converting the netlist element data into schematic diagram element data according to an element configuration rule of the target electronic design automation tool; determining position information of the circuit elements and routing information between the circuit elements based on the netlist topological data, and generating schematic diagram layout data adaptive to the target electronic design automation tool; and according to the schematic diagram element data and the schematic diagram layout data, generating a circuit schematic diagram file through the target electronic design automation tool. The circuit netlist conversion method has the technical effect of improving the circuit netlist conversion efficiency.

The invention discloses a power data network wide area synchronous transmission system based on APN6 intelligent slicing, and relates to the technical field of power system communication, the service type of current transmission data is obtained through an identification embedding module, and a structured APN6 identifier is embedded in a Hop-by-Hop option header of an IPv6 extension header; the slice creation module judges whether retransmission is carried out or not according to CRC verification, dynamically creates multi-level slices according to time delay levels, and calculates an optical fiber refraction compensation value according to topological path coding; when the phase compensation module monitors that a line fault or a node is overloaded, different strategies are executed for slices of different levels, and transmission phases of slices around a fault area are adjusted through the signal modulation module; and when the slice capacity expansion module detects that the new energy cluster oscillates, bandwidth directional capacity expansion is executed according to the slice resource elastic scheduling framework. According to the method and the device, the data identification accuracy and the slice resource adaptability are improved.

A 5G server system establishes a wireless connection between a wireless device and a data network (DN) subsystem through a network slice. A user plane function (UPF) subsystem generates an aggregated wireless connection between the UPF subsystem and the DN subsystem by augmenting the wireless connection with additional network connections. The DN subsystem and the UPF subsystem transmit data packets from a Low Latency Low Loss Scalable Throughput (L4S) application server to the wireless device via the aggregated wireless connection. In response to a detection of the risk of reduced service performance, the system adds a notification to a respective data packet. The system causes the wireless device to forward a feedback message to the L4S application server upon receiving the notification. The system performs an action to prevent reduced service performance in response to receiving a request from the L4S application server.

The present application relates to the technical field of computers. Disclosed are a computing system, a model training method and apparatus, and a device, a medium and a product. The artificial intelligence computing system comprises a plurality of computing nodes. Each computing node comprises a host, a computing device and a network interface card, wherein the computing device comprises a first hardware interface, a first device coherence engine and a first computing core, and is connected to the host by means of the first hardware interface; the network interface card comprises a second hardware interface and a second device coherence engine, and is connected to the host by means of the second hardware interface; and by means of a cache flush operation, the computing device transmits gradient data with a network interface card memory of the network interface card, and the network interface card is used for synchronizing the gradient data with other computing nodes. The present application improves the efficiency of transmitting gradient data between a computing device and a network interface card, thus improving the training efficiency for an artificial intelligence model.

A method for selecting and applying a dedicated quality of service (QoS) class for a user equipment (UE) within a home network that communicates with a data network includes: communicating, by the UE, with the data network over a communication path, wherein the communication path comprises a first communication link of a first QoS class between the UE and a residential gateway (RG) and a second communication link of a second QoS class between the RG and the data network; and initially selecting, by the RG, a default QoS class for the first QoS class for the UE. The communication comprises an identification of the UE and / or a traffic descriptor that is received by the RG and / or by a network entity within the data network.

A vehicle communication control device capable of remote driving is disclosed. The vehicle communication control device capable of remote driving includes an autonomous vehicle driven under driving control according to signals, a remote driving sensor unit that receives sensor data from at least one sensor located inside and outside the autonomous vehicle, a network status processor that calculates a delay time for a network path between the vehicle and a server device and generates target bit rate information based on the delay time, a data encoder that encodes remote environment data including the sensor data based on the target bit rate information, and a transmission unit that transmits the encoded data to a remote driving control server device.

A telecommunications switch-type platform positioned between a private-branch exchange and a data network dynamically hosts artificial-intelligence agents that interpret, transcribe, translate and transliterate live call traffic while the session is in progress. Machine-readable instructions stored in local memory instantiate, migrate and terminate the agents on demand across dedicated processing resources such as field-programmable gate arrays, application-specific integrated circuits or system-on-chip devices, thereby maintaining end-to-end latency below 250 milliseconds. An integrated call-audio recorder captures bidirectional media streams for secure archiving without interrupting service. The platform exposes a network interface that passes both signalling and media traffic, enabling seamless deployment inside call-centre or enterprise environments and compatibility with softswitch architectures conforming to class-4 Computational Interpretation of Communication using Artificial Intelligence standards. The same functional stack is deliverable as a computer-implemented method and as a non-transitory machine-readable medium storing the instructions executed by the processing resources.

A user equipment (UE) can be configured to detect a mobility event of the UE in which the mobility event corresponds to the UE moving from a first service area which supports one or more edge application servers (EAS) to a second service area which supports one or more cloud application servers (CAS). The UE can then perform communications with an edge configuration server (ECS) regarding the second service area. Additionally, the UE can receive from the ECS, a response comprising an indication that one or more suitable edge data networks (EDNs) could not be found. The UE can discover a suitable CAS corresponding to the second service area and perform an application context transfer (ACT) from the EAS to the CAS.

A communication system includes a relay device having a plurality of ports and configured to duplicate traffic passing through at least one of the plurality of ports, a network controller configured to monitor traffic of a data network including the relay device, and a traffic processing device having a storage unit configured to receive and store the traffic duplicated by the relay device without passing through another relay device, and a transmission unit configured to transmit traffic information regarding the duplicated traffic obtained from the storage unit to the network controller at a predetermined timing.

A method for sharing a data network and an electronic device are provided. The method includes: converting a first data packet satisfied with a first protocol format and sent by a first virtual network card into the first data packet satisfied with a second protocol format based on a preset application-layer protocol; sending the first data packet satisfied with the second protocol format to a second terminal through a Bluetooth network, and receiving a second data packet satisfied with the second protocol format and returned by the second terminal; and converting the second data packet satisfied with the second protocol format into the second data packet satisfied with the first protocol format, and transmitting the second data packet satisfied with the first protocol format to the first virtual network card, based on the preset application-layer protocol.