1093 results about "Private network" patented technology

The invention relates to the technical field of aerospace, in particular to low-altitude traffic flow airspace-oriented real-time planning, and provides a centimeter-level precision detection network covering a low-altitude airspace by integrating multi-dimensional data sources such as radar electromagnetic feature recognition, ADS-B (Automatic Dependent Surveillance-Broadcast) automatic monitoring, Beidou or GPS (Global Positioning System) space-time reference positioning and the like. The three-dimensional trajectory and motion situation of the aircraft are solved in real time, intelligent reconstruction of an airspace sector and adaptive optimization of a flight corridor are realized by adopting a dynamic programming algorithm driven by reinforcement learning based on the real-time pose data of the aircraft, and a flight conflict prediction model constructed by combining a space-time convolutional neural network is used for predicting the flight conflict. According to the method, potential risks can be pre-judged, an optimal avoidance path can be generated, full-process digital management and control from identity verification to airspace authorization can be realized by constructing an aircraft digital identity authentication system and a dynamic access control mechanism, and modules such as a three-dimensional navigation information service module, a low-altitude digital communication private network module and an intelligent early warning and warning system module are integrated. And the guarantee of full-life-cycle service is provided for the low-altitude aircraft.

The invention discloses a private network dynamic access control method and system, and relates to the technical field of network security and access control. The method comprises the following steps: acquiring equipment behavior data and network flow data in a private network, performing feature construction, and generating equipment trust features and network behavior features; and carrying out multi-dimensional risk assessment model training based on the equipment trust features and the network behavior features, carrying out real-time risk assessment on access requests or entities in the private network through the trained multi-dimensional risk assessment model, and generating a real-time risk score through a weighted aggregation function. According to the invention, through the multi-modal feature fusion model based on an attention mechanism, deep association of static attributes and dynamic behavior features of equipment is realized, and a real-time risk score is generated in combination with a multi-dimensional risk assessment model and a weighted aggregation algorithm. The limitation that in traditional access control, the evaluation dimension is single, the static strategy lags behind, and dynamic threats cannot be reflected is effectively overcome, and the accuracy and interpretability of private network access risk perception are remarkably improved.

Methods, apparatus, systems, and articles of manufacture are disclosed for device authentication in a dedicated private network. An example apparatus includes interface circuitry, machine readable instructions, and programmable circuitry to utilize the machine readable instructions to generate first credentials associated with a first network based on second credentials associated with a second network, the first credentials including first location data corresponding to a dedicated private network (DPN), cause a mobile device to program a programmable subscriber identity module (SIM) of the mobile device based on the first credentials, and permit the mobile device to access the DPN based on a determination that second location data corresponding to the mobile device and included with the programmable SIM corresponds to the first location data.

The invention relates to the technical field of power production communication, and discloses an optical fiber transmission and multi-channel communication scheduling fusion method, system and device based on emergency communication switchover, and a medium, and the method comprises the steps: carrying out the unified protocol packaging of data of a production scheduling service, and obtaining a production scheduling service data independent transmission protocol stream; the method comprises the following steps: receiving a production scheduling service data independent transmission protocol stream to be transmitted, and pre-distributing a wavelength channel in an optical fiber transmission channel for the independent transmission protocol stream according to the priority and data traffic of a production scheduling service; carrying out independent transmission protocol stream transmission in the optical fiber transmission channel, adjusting the transmission adaptability of a target channel in multiple channels according to an emergency communication switching requirement, and switching the optical fiber transmission channel to the target channel; the target channel comprises a 5G private network channel and a satellite channel. According to the method, flexible adaptation and data consistency of production scheduling service transmission can be ensured, and the emergency scheduling communication capability and efficiency are improved.

A control unit (130) of a control apparatus (10) acquires a position of a first communication device (40A) and first quality information about a plurality of links. The first communication device (40A) is positioned in a first site in which a first base station (20A1) for a first private network is arranged, and is connectable to the plurality of links including the first private network. The control unit (130) acquires a position of a second communication device (40B) and second quality information about the plurality of links. The second communication device (40B) is positioned in a second site in which a second base station (20B1) for a second private network is arranged, and is connectable to the plurality of links including the second private network. The control unit (130) acquires first and second communication information about the first and second communication devices (40A and 40B). The control unit (130) uses the first and second communication information and first and second quality information to determine a communication route satisfying a desired quality between the first and second communication devices (40A and 40B), and gives notice of route information.

The invention relates to the technical field of coal mine telecommunication, and discloses a coal mine underground integrated private network coverage system based on a 5G communication and AR double-transmitting selective-receiving technology, an efficient transmission and baseband processing network is constructed by taking a macro base station as a core on the ground and matching with PTN equipment and a BBU, a 5G micro base station and an RRU are deployed under the ground for a complex environment, and low-loss signal coverage is realized through optical fibers. The AR double-transmitting selective-receiving module ensures that underground data are not lost and have no error through redundant coding and double-link transmission; the edge computing module sinks data processing to the underground, reduces transmission delay and optimizes resource allocation; and the system monitoring and interference suppression unit monitors the operation state in real time, performs multi-stage alarm and resists multipath effect and electromagnetic interference, and finally realizes integration of communication above and under the well, reliability of data transmission, high efficiency of resource utilization and stability of system operation, thereby providing solid communication support for safety production, equipment management and control and personnel scheduling under the coal mine.

The invention belongs to the technical field of ship management, and provides a combined intelligent ship water diversion system integrating differential positioning, a laser radar and a camera. In the shore end RTK-inertial navigation depth fusion positioning module, extended Kalman filtering fusion is carried out on data acquired by shipborne equipment, so that continuity of accurate positioning is realized; the construction of a color high-precision map is realized through a laser radar-monocular vision color high-precision modeling module, details such as wharf fender materials and signboard characters can be better distinguished, and the problem of shoreline modeling defects is solved; visualization of obstacles is achieved through the multi-scene dynamic obstacle detection and fusion module, meanwhile, through cooperation of multi-source data, the precision and stability of ship positioning are greatly improved, higher precision and reliability are achieved, and the precision of a guide instruction is improved; through cooperation of the 5G private network and the visualization module, the data transmission efficiency is improved, the timeliness is improved, and transmission delay can be avoided.

The invention discloses a private network content copyright monitoring and evidence obtaining system based on AI and a large model, which utilizes AI and large model technologies to carry out copyright monitoring and evidence obtaining on multimedia content in a private network environment, and carries out deep semantic understanding and cross-modal feature extraction through a large model processor to generate unified semantic representation. The method comprises the steps that a copyright content database is established and stored in a copyright content knowledge base, the copyright content knowledge base is used for storing metadata of original content protected by copyright, unified semantic representation and copyright declarations in a natural language form provided by a copyright party, and the copyright declarations are converted into query vectors through a semantic understanding technology; the method comprises the following steps: acquiring a semantic representation of a multimedia content, performing similarity calculation with the semantic representation of the multimedia content, identifying infringement content, when the infringement content is identified, recording an original source, publishing time and publisher information of the infringement content, performing differentiation analysis, generating an evidence chain, displaying a copyright monitoring result through a user interface, generating infringement alarm information, and presenting details of the evidence chain.

According to the instant application, there are provided systems and methods to create a quantum secure / resistant secure communication channel (QSR-SCC) for communication between two or more end-points at or within devices, applications, services, APIs, secure communication protocols, etc. In one example of a QSR-SCC, a quantum secure / resistant private network (QSR-PN) extends existing VPN solutions using one time pad (OTP) based keys, augmented handshake mechanisms, and interchangeable ciphers, for example, stream ciphers or block ciphers, for enhancing security associated with the QSR-PN.

A core network server for defining authentication credentials and authenticating a wireless communication device according to WIFI communication protocols includes a central processing unit (CPU) and a non-transitory memory comprising executable instructions that when executed by the CPU, causes the core network server to receive an encrypted authentication request from a wireless communication device; send the encrypted authentication request to an authentication server based on one or more attributes in the encrypted authentication request; receive an indicator of a specialized network slice associated with the wireless communication device based on sending the encrypted authentication request; communicate authentication messages to the wireless communication device according to one or more network functions of the specialized network slice; and authenticate the wireless communication device according to the specialized network slice responsive to communicating the authentication messages.

The invention relates to the technical field of humanoid robot control. The invention provides a humanoid robot bilateral force feedback teleoperation method of a force compensation mechanism. According to the method, a 5G private network is used for deployment, the characteristics of low delay, high reliability and large bandwidth of the 5G private network are utilized, real-time interaction of high-dimensional haptic data in a remote and cross-domain environment is effectively supported, cross-domain teleoperation can be achieved, high-fidelity feedback transmission of environment contact force is effectively achieved, and the real-time interaction of the high-dimensional haptic data in the remote and cross-domain environment is achieved. The precision, the operation efficiency and the overall safety of remote operation of the humanoid robot in complex industrial scenes such as nuclear power maintenance, precise assembly and high-risk environment operation are remarkably improved, the gap between traditional automation and low-efficiency remote operation is filled up, and reliable technical support is provided for advanced industrial application needing man-machine cooperation fine force control.

The invention relates to the technical field of metal plastic forming, and discloses a titanium alloy radial forging reduction rate collaborative optimization method based on material testing, which comprises the following steps of: acquiring dynamic characteristic data in a forging process in real time by acquiring multi-dimensional material performance parameters, and constructing a multi-target collaborative optimization model; and intelligent collaborative configuration of the reduction rate parameters is realized by adopting a self-adaptive weight distribution strategy. And a thermal coupling factor normalization equation and a phase field free energy functional normalization model are established, and the technical problems that in a traditional forging process, due to empirical configuration of reduction rate parameters, the structure is uneven, and residual stress exceeds the standard are solved. A lightweight model is deployed through edge computing nodes, millisecond-level dynamic correction of an optimization scheme is realized in combination with a 5G industrial private network, and the grain size qualification rate and the size precision of the titanium alloy forgings are improved. The method improves the yield of the grain size of the forge piece, ensures that the residual stress of the forge piece is reduced, stably controls the size precision, and improves the batch stability of high-end titanium alloy parts.

Disclosed are various embodiments that extend customer premises networks onto a cloud provider network. In one embodiment, a layer-3 virtual private network is established between a tunneling agent and a virtual private network server on a cloud provider network. The tunneling agent is executed on an edge customer premises equipment (CPE) device on a customer premises network. A layer-2 virtual interface is established for an edge application on the cloud provider network using a tunnel to encapsulate layer-2 traffic between the customer premises network and the edge application over the layer-3 virtual private network.

The present application relates to the technical field of metal plastic forming, and discloses a titanium alloy radial forging reduction rate collaborative optimization method based on material testing, which acquires dynamic characteristic data of a forging process in real time through multi-dimensional material performance parameter collection, constructs a multi-objective collaborative optimization model, and realizes intelligent collaborative configuration of the reduction rate parameter by using an adaptive weight distribution strategy. A thermal coupling factor normalization equation and a phase field free energy functional normalization model are established to solve the technical problems of uneven structure and excessive residual stress caused by the empirical configuration of the reduction rate parameter in the traditional forging process. A lightweight model is deployed through an edge computing node, and millisecond-level dynamic correction of the optimization scheme is realized in combination with a 5G industrial private network, thereby improving the grain size qualification rate and size accuracy of titanium alloy forgings. The present application improves the grain size qualification rate of forgings, ensures stable control of the size accuracy while reducing the residual stress of forgings, and improves the batch stability of high-end titanium alloy components.

A router is configured to send an advertisement of selective Ethernet Virtual Private Network (VPN) (EVPN) routes based on the Route Types. The router is configured to determine a requirement for a route refresh from a Border Gateway Protocol (BGP) peer for a subset of Route Types of all of the Route Types, send a route refresh message to the BGP peer with an indication of the subset of Route Types, and receive updated routes from the BGP peer only for the subset of Route Types. The indication can be included in a reserved field and payload of the route refresh message. The route refresh message can be defined in RFC 2918.

Techniques are described for routing traffic through an interconnect cloud gateway based on cloud traffic routing indicators. The interconnect cloud gateway can advertise the cloud traffic routing indicators, which can include cloud indicators and transport gateway indicators. The cloud indicators can include cloud tags utilized to route cloud traffic. The transport gateway indicators can include transport gateway flags utilized to identify private networks utilized to route the cloud traffic. The cloud traffic can routed during normal private network operation through private networks, which can be dynamically replaced by public networks due to occurrences of failures preventing the data traffic from being routed through the private networks and to cloud networks.

The invention relates to the technical field of network security, in particular to a management method and system for customizing private network asset fingerprints, and the method comprises the following steps: based on a network access event, analyzing a behavior track and a historical mode, recognizing an abnormal activity path, judging an abnormal relation between an asset authority group and an access action, screening risk assets, and checking the authority level. And adjusting the fingerprint authority, analyzing the security event aggregation condition, identifying the failure state, and analyzing and detecting the fingerprint behavior deviation rate through the operation time sequence. According to the method, by analyzing multi-dimensional changes of network access behaviors, identifying path offset and traffic abnormity and combining time sequence association of permission allocation and access actions, comprehensive study and judgment are conducted on operation risks and permission matching conditions, fingerprint permission categories are dynamically adjusted, and further, through aggregation analysis of security events and operation time sequences, the security events and the operation time sequences are analyzed. The abnormal state of the fingerprint is identified in real time, and behavior consistency verification in the asset fingerprint using process is achieved.

A system for controlling access to cryptographic resources is disclosed. The system may receive a request to transfer cryptographic resources between users, including a user identifier and a first cryptographic signature. The system may verify the signature and retrieve an encrypted private key from a key vault using the user identifier. A command to sign the request may be transmitted over a private network to a signature device, which may generate a second cryptographic signature using the decrypted private key. The system may receive the second signature, generate a blockchain operation based on the request and signature, and transmit the operation to a blockchain node for commitment. The system may also handle new account generation, storing encrypted keys in jurisdiction-specific databases, and validating blockchain operations against request parameters.

A distributed cloud computing system is disclosed that includes a controller configured to deploy network constructs including any of transit gateways, spoke gateways, subnets, or private networks and logic that, upon execution by one or more processors, causes performance of operations including: causing rendering of a graphical user interface that includes a display panel configured to display progress of a build process for a network topology graph, receiving first user input through the graphical user interface indicating selection of a first cloud service provider, a first access account, and a first cloud region, receiving second user input through the graphical user interface indicating selection of one or more of the network constructs to be deployed in the first cloud region, instructing the controller to deploy the one or more of the network constructs in the first cloud region according to the first user input and the second user input.

Techniques for leveraging the MASQUE protocol to provide remote clients with full application access to private enterprise resources are described herein. One or more network nodes may be configured to execute a MASQUE proxy service to provide a remote client device with full access to an enterprise / private application resource executing on an application node and hosted in an enterprise / application network, behind the MASQUE proxy service. In some examples, the MASQUE proxy service may execute on a single proxy node hosted at an edge of a cloud network or at an edge of an enterprise network. Additionally, or alternatively, a first instance of the MASQUE proxy service may execute on a first proxy node hosted at an edge of a cloud network (e.g., an ingress proxy node) and a second instance of the MASQUE proxy service may execute on a second proxy node hosted at an edge of the enterprise network.

A method of operating a network device is provided. The method can include detecting a first host device that is communicatively coupled to a first interface or port of the network device, identifying a first host profile identifier corresponding to a first class of devices to which the first host device belongs, and advertising, to one or more additional network devices, network reachability or routing information for the first host device. The network reachability information can include at least the first host profile identifier associated with the first host device and a first sequence number. The first sequence number may indicate a number of mobility or roaming events taken by the first host device.

In one embodiment, a device receives a request from a client to remotely access an endpoint in a local network. The device instantiates a network slice having a remote access function in a cellular network. The device causes the endpoint to communicate a particular type of traffic via the network slice and the remote access function. The device configures a virtual private network tunnel between the client and the remote access function. The client and endpoint communicate with one another via a connection that comprises the network slice and the virtual private network tunnel.

Containerized orchestration of secure socket layer virtual private network benchmarking is disclosed. A test portal can accommodate developing test event information (TEI) based on test input information. Test input information can be used to generate event images, e.g., containers, that can be readily scaled, mutated, etc., via a containerization environment instance. One or more event image can be groups into a pod. An event image can be a new container, a previously used container, or a permutation of a container. Event image(s) can be retrieved from external sources, e.g., a library, a commercial vendor of event images, etc. TEI can be based on a pod(s) and communicated to a device-under-test (DUT). DUT performance can be measured, and results can be accessed by an entity, e.g., a test engineer, a results analysis engine, etc. Results can be employed to direct subsequent DUT testing.

The invention discloses a bridge health monitoring system which comprises a sensing layer, a transmission layer, a processing layer and an application layer which are in communication connection in sequence. The sensing layer synchronously collects structural mechanics, environmental influence and traffic load data through multi-source heterogeneous sensing nodes, and the sensing nodes adopt a solar energy and vibration energy double-source energy supply and low-power-consumption mechanism; the transmission layer adopts a'wireless private network + edge gateway 'mixed mode, and has data caching and breakpoint resuming functions; the processing layer analyzes data through a deep learning fusion algorithm based on an attention mechanism, and realizes dynamic early warning threshold adaptive adjustment in combination with a Bayesian reasoning model; and the application layer provides a visual interface, graded early warning and targeted maintenance decision suggestions. The system achieves the precise monitoring of the full life cycle of the bridge, improves the evaluation accuracy and system stability, reduces the operation and maintenance cost, provides scientific support for the safe operation and maintenance of the bridge, is suitable for the health monitoring scenes of various bridge types, and greatly improves the accuracy of the evaluation of the health state of the bridge.

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 discloses a resource allocation and configuration method and device and electronic equipment. The method comprises the following steps: converting network resources in a private network into programmable objects, and constructing a resource label model according to attribute information of the programmable objects and the network resources; receiving service demand information, extracting a service intention in the service demand information, and converting the service intention into a standardized intermediate instruction; generating a resource allocation scheme according to the standardized intermediate instruction and the network resource use state information, and evaluating the resource allocation scheme in a digital twin environment of the private network; and under the condition that the evaluation result of the resource allocation scheme in the digital twin environment meets a preset requirement, converting the resource allocation scheme into a control instruction, and sending the control instruction to the network resource. The technical problems of low network resource allocation efficiency and slow service response speed caused by non-uniform resource description and high service demand analysis difficulty in a multi-manufacturer heterogeneous network environment are solved.

This invention provides methods and systems for seamless mobile connectivity between public and private cellular networks. The system dynamically switches user devices between networks based on location, radio signal availability, or preconfigured policies that prioritize private networks when within range. For devices with physical SIM cards, an embedded applet enables switching between operator profiles, while ESIM profiles deploy applets for selecting among multiple identities within a profile. All cellular traffic, whether on public or private networks, is routed through a cloud-based system for centralized security and policy enforcement. Network selection may be influenced by defining the private network as the Home Public Land Mobile Network (HPLMN) or scanning available networks via applet capabilities. The system supports unified subscription, connectivity, and service management via a cloud-based portal, ensuring reliability and security across diverse network environments. This approach enhances mobility, security, and flexibility for enterprise and IoT applications.

The invention discloses an AI-based private network abnormal risk traffic multi-modal detection method and system, relates to the technical field of network security, and is used for solving the problem that compound attacks which are high in concealment and have service context association are difficult to effectively identify in a private network. The method comprises the following steps: firstly, injecting business semantics for flow analysis through multi-modal data acquisition and business intention marking; then, by adopting a mode of combining session boundary stability analysis and protocol compliance verification, detecting anomalies from two dimensions of microscopic protocol operation and macroscopic behavior trend respectively, and generating risk events of different levels; finally, an attack chain judgment mechanism is constructed through time sequence correlation analysis, a front-end detection strategy is dynamically optimized based on a judgment result, a closed-loop detection system from data collection to threat response is formed, and the detection accuracy of advanced threats in the private network environment and the self-adaptive capacity of the system are effectively improved.

The invention relates to the technical field of intelligent inspection, in particular to a thermal power plant 5G private network and intelligent perception fused safety inspection system, which comprises a 5G private network communication module used for constructing a low-delay and high-reliability localized network in a thermal power plant; the multi-source intelligent sensing terminal is used for acquiring equipment state and environment data in real time; the edge computing node is used for data preprocessing and real-time analysis; the cloud intelligent analysis platform is used for realizing equipment fault prediction and safety early warning; through cooperative work of the multi-source intelligent sensing terminals and in combination with local preprocessing capability of the edge computing nodes, real-time acquisition and preliminary analysis of equipment state and environment data are realized, redundant data transmission is reduced, fault detection efficiency is improved, meanwhile, a 5G private network provides stable localized communication guarantee for a thermal power plant inspection system, and the power plant inspection system has a wide application prospect. The problem of signal delay or interruption caused by interference of a traditional wireless network is avoided, and the response speed and reliability of the system are remarkably improved.

Devices, systems, methods, and processes for fabric congestion management are described herein. At each ingress switch, virtual output (“VO”) queues are created for egress ports based on identifiers, state indicators, and encapsulation values of the egress ports received via an Ethernet Virtual Private Network (“EVPN”) control plane. When a data packet is received at the ingress switch, an egress port for the data packet is determined, an identifier and an encapsulation value of the egress port are added to the data packet, and the data packet is stored in a corresponding VO queue. The data packet remains at the ingress switch until an egress switch is available. At the egress switch, one or more tags are added in the data packet based on the encapsulation value, whereas the destination egress port is identified based on the identifier. Thus, a quick egress through the egress switch is achieved.