39 results about "Network redundancy" patented technology

The invention relates to the technical field of Internet of Things gateways, and discloses an Internet of Things gateway device and system based on edge computing, and the device comprises a hardware heterogeneous computing module and a multi-interface protocol adaptation module. The edge calculation local processing module is used for performing preprocessing, feature extraction and local decision on the acquired terminal data; the network redundancy and self-healing module is used for realizing accurate network disconnection detection, seamless switching of a main network and a standby network and equipment fault self-recovery through a multi-dimensional network health degree evaluation algorithm; the local autonomous storage module is used for realizing hierarchical storage of high-frequency data and network disconnection emergency data and seamless synchronization after network recovery through network disconnection data hierarchical caching and an incremental synchronization algorithm; and the cloud collaborative management module is used for realizing remote configuration, OTA upgrading and state monitoring. The method is high in integration, low in delay and fast in response, adapts to real-time scenes, saves bandwidth cost, improves cloud efficiency, is high in reliability, and realizes network disconnection and continuous operation.

The invention provides a time-triggered protocol network planning method and system for an aviation power supply system, and a storage medium. The network architecture adopts a hardware-level dual-redundancy design, each communication node is provided with two independent TTP physical interfaces and corresponding TTP daughter cards, and the TTP physical interfaces and the corresponding TTP daughter cards are respectively accessed to a TTP A network and a TTP B network which are logically independent, so that channel-level fault isolation is realized. The planning method comprises the following steps: classifying messages according to power supply system services and defining a transmission period; initializing a cluster and setting time parameters such as a TDMA period and a cluster period; packaging the messages with consistent periods and reserving extension bits in a data structure; and calculating the time slot capacity based on the transmission rate, the node number and the TDMA period, and generating a deterministic message scheduling table. According to the method, high communication reliability is guaranteed through dual-network redundancy, the real-time requirement of various messages such as control and alarm is met through systematic scheduling, the expandability of the network is improved by reserving expansion bits, and the method is suitable for an aviation power supply system with strict communication performance requirements.

The invention provides an AI-based data transmission path analysis and security protection method, which comprises the following steps: evaluating the security exposure degree of path topological symmetry according to the bidirectional structure detectability of a symmetric topological path, and identifying the attacker path deduction convenience according to the security exposure degree; adjusting network redundancy processing of the uplink path according to the attacker path deduction convenience to obtain an adjusted uplink path node distribution pattern; according to the alarm signal and the adjusted uplink path node distribution form, combining downlink path node distribution data to identify a potential attack path, performing path planning optimization processing on the potential attack path to extract an attack node invasion sequence, and determining a target node deployed by active defense according to the attack node invasion sequence; and performing real-time reconstruction processing on the data transmission path according to the topological differentiation protection intensity to obtain a reconstructed transmission path topological structure, and evaluating the security protection satisfaction degree of the reconstructed path according to the reconstructed transmission path topological structure.

The application provides a time-triggered protocol network planning method, system and storage medium for an aviation power supply system. The network architecture adopts a hardware-level dual-redundancy design, each communication node is configured with two independent TTP physical interfaces and corresponding TTP subcards, and is connected to logically independent TTP A network and TTP B network respectively, so that channel-level fault isolation is realized. The planning method comprises the following steps: classifying messages according to power supply system services and defining transmission periods; initializing a cluster and setting time parameters such as a TDMA period and a cluster period; packing messages with consistent periods and reserving extension bits in a data structure; calculating time slot capacity based on transmission rate, node number and TDMA period, and generating a deterministic message scheduling table. The application guarantees high communication reliability through dual-network redundancy, meets the real-time requirements of various messages such as control and alarm through systematic scheduling, improves the scalability of the network through reserved extension bits, and is suitable for aviation power supply systems with strict communication performance requirements.

The application discloses a double-network redundancy transmission method and device based on link selection, and the method comprises the following steps: a data sending node duplicates message data and sends the message data to two independent parallel transmission networks through two network cards; when the data receiving node receives the message data sent by the data sending node from the corresponding transmission network through any one of the two network cards, the data receiving node checks a built-in node link state table, judges whether the record of the data sending node exists, if the record exists, judges whether the message data is sent according to the record of the data sending node, and updates the record of the data sending node in the node link state table according to the message data; if the record does not exist, the record of the data sending node is added in the node link state table, and the message data is sent according to the record of the data sending node; the application can construct two physically completely independent networks, and data can be transparently, efficiently and reliably transmitted in the two networks.

The application discloses a tool logistics distribution system based on multi-dimension redundancy, which comprises a stereoscopic warehouse stacker, a loading and unloading robot, an intelligent cabinet, a roller shutter door, an AGV robot, a bar code gun and a central control system; the central control system is connected with the stereoscopic warehouse stacker, the loading and ununning robot, the intelligent cabinet, the roller shutter door, the AGV robot and the bar code gun respectively; the central control system comprises a redundant communication electronic device; the redundant communication electronic device runs a logistics communication network redundancy design method to realize the connection among the stereoscopic warehouse stacker, the loading and ununning robot, the intelligent cabinet, the roller shutter door, the AGV robot, the bar code gun and the central control system, and further realizes the distribution of tools; the system realizes the automatic distribution of tools, completes process actions such as tool loading and ununning, reduces manual intervention and improves the accuracy of distribution and tool loading and ununning.

The invention discloses a lightweight DAS seismic phase pickup method and system based on sparse connection, and relates to the technical field of seismic exploration, and the method comprises the steps: carrying out the segmentation and local time window division of DAS data of a target region, and dynamically adjusting a morphological structure element based on each local time window, thereby generating an enhanced signal feature sequence; the sequence is input into a parallel fusion network formed by convolution and an attention mechanism and a sparse connection U-shaped network at the same time, multi-channel feature maps output by the two types of networks are fused, and P-wave and S-wave arrival distribution curves reflecting time and space distribution are formed through corresponding matching and weighted stacking of local and global features; network redundancy is effectively reduced through a sparse connection mechanism, calculation efficiency is improved, meanwhile, in combination with local convolution response and global attention information, accurate capture of energy concentration positions and propagation trends of P waves and S waves is achieved, and meanwhile it is guaranteed that the model completely characterizes a key vibration mode under the condition of low calculation amount.

The present disclosure is related to a method and network element for network redundancy. The method may be performed at a first network element for providing a service together with a plurality of second network elements in a redundant manner. The method includes: determining whether the first network element is to function as an active network element or a standby network element for a first route at least partially based on a first priority of the first network element and / or whether the first route is advertised by at least one of the plurality of the second network elements; and advertising, in a standby state, the first route in response to determining that the first network element is to function as a standby network element for the first route.

The invention relates to the technical field of avionics networks, and discloses a TSN redundant frame filtering method and system based on an IEEE802.1 CB protocol, and the method comprises the steps: receiving a data frame through an MAC layer of an end system, and extracting a destination MAC address and a source MAC address of the data frame; constructing an address two-tuple by using the destination MAC address and the source MAC address, and performing matching query in a pre-configured flow table by adopting a binary search algorithm to obtain a flow identifier corresponding to the address two-tuple; searching data stream state information bound with the stream identifier, wherein the data stream state information comprises a currently received maximum frame sequence number and historical window information for recording a historical frame receiving state; comparing the serial number of the data frame with the maximum frame serial number; according to the comparison result and the historical window information, corresponding data frame receiving or filtering operation is executed, and the problems that the flow identification query efficiency is low, and the out-of-order redundant frame processing logic is not accurate are solved.

The invention relates to a vehicle body model optimization method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining an original vehicle body model, and recognizing a topological structure in the original vehicle body model; based on the topological structure, extracting a network redundancy structure meeting a preset defect condition from the original vehicle body model; and repairing the network redundant structure to obtain a complete vehicle body model meeting a preset qualified condition. Therefore, the technical problems that the complexity of a vehicle body model is relatively high, the labor cost is relatively high when grid redundancy processing is carried out, and the vehicle body model depends on artificial experience and is not beneficial to popularization and application in related technologies are solved.

This invention relates to the field of substations and discloses a reliability analysis method for the communication network of a substation secondary system. Taking the overall failure of the substation communication network as the top event, and based on an autonomous and controllable substation safety partitioning architecture, the direct causes leading to the top event are decomposed into multiple intermediate events. A top-level fault tree model is constructed using logical OR gate relationships. Each intermediate event is recursively expanded hierarchically to form an initial subtree. Combining the characteristics of dual-network redundancy and dual-configuration of equipment, the redundancy mechanism is equivalent to AND gate logic and added to the initial subtree to obtain a partitioned subtree model. Equipment-level faults are extracted from the partitioned subtree as bottom events and standardized. Based on engineering statistical data, their failure rate and repair rate are determined. After calculating the unavailability, probability calculations are performed from bottom to top to obtain the overall system availability. This method can accurately output the overall availability of the substation secondary system communication network.

The application discloses a network data deduplication method and system in a cloud environment based on an autoregressive model, and relates to the technical field of big data processing. The method comprises the following steps: step 1, obtaining network data to be stored containing similar data in the cloud environment; step 2, establishing a cloud environment elastic space model, determining the spatial autocorrelation measurement value of the network data and performing data denoising processing; step 3, obtaining the multi-dimensional scale attribute features of the data; step 4, performing clustering processing on the network data through the multi-dimensional scale attribute features of the data; step 5, establishing a network redundant data prediction model; and step 6, inputting the denoised network data into the network redundant data prediction model and performing redundant data elimination processing. The application can not only suppress noise data in the network data, but also realize clustering of the network data in the cloud environment, improve the data deduplication efficiency, and save a large amount of storage resources and management resources of the cloud server.

The invention discloses a server management method and electronic equipment, and relates to the technical field of computers, and the method comprises the steps: transmitting fault information to a power line carrier module through a communication bus after a controller of a first server detects that a management network port is offline, and broadcasting the fault information to other servers in the same power grid through a power line, and then the data is relayed and reported to the management platform by the normally networked server, so that emergency communication under the condition of management network failure is realized. According to the invention, additional wiring or a special redundant network card is not needed, data transmission between the controllers is realized by using the existing power line, and a low-cost and non-intrusive network redundant channel is constructed. Therefore, when the special management network fails, fault reporting and positioning can still be completed, the fault accessibility and the operation and maintenance reliability of the system are greatly improved, and the operation and maintenance and hardware deployment cost is effectively reduced.

The embodiment of the invention provides a network redundancy control device and network equipment. The network redundancy control device comprises a main board, a first management board and a second management board, the first management board comprises a first exchange chip and a first interface which are connected with each other; the second management board comprises a second switching chip and a second interface which are connected with each other; the mainboard comprises a BMC, a CPLD and a third switch chip; the BMC is respectively connected with the CPLD and the third switching chip, the CPLD is respectively connected with the first interface and the second interface, and the third switching chip is respectively connected with the first switching chip and the second switching chip; the CPLD is used for respectively acquiring network states of the first interface and the second interface; and the BMC is used for performing redundancy control on the first management board and the second management board according to the network states of the first interface and the second interface. The dual-port redundancy control mechanism is simple and easy to implement.

The application discloses a kind of multi-domain FC-AE-1553 network's cooperative management method and system, it is related to communication technical field, method includes: for each network controller and network terminal configuration address, and in each FC-AE-1553 subnet switch implementation security partition strategy, realize default state each subnet independent operation and prohibit cross subnet communication;Each subnet network controller state is monitored and fault is judged;When first FC-AE-1553 subnet network controller fault is confirmed, by authorization configuration, allow the subnet switch to cross subnet communication, by second FC-AE-1553 subnet takeover its network terminal service;When fault network controller recovers, execute recovery operation and restore management authority and switch strategy to default state.The application can greatly reduce the number of redundant controllers, reduce cost, and break through single network redundancy limit, realize fault-tolerant backup, improve the reliability and scalability of multi-domain system.

The invention relates to a network redundancy method based on a port data label, which belongs to the technical field of mining safety monitoring communication, and comprises the following steps: S1, network path discovery; s2, establishing a data label and planning a path; s3, data transmission; and S4, data unification. According to the technology, the reliable data transmission can be realized by establishing multiple paths of the network and utilizing a label data multi-path transmission mode, and the data is not lost when the network paths are switched.

The application discloses a FRER path selection method and system based on GRU and DQN, relates to the technical field of industrial internet communication, and comprises the following steps: establishing a TSN network model; determining constraint conditions of path transmission based on the TSN network model and a service level agreement SLA constraint; calling a gating recurrent unit GRU candidate path screening algorithm to screen a candidate path set from a path set based on the TSN network model and the constraint conditions of path transmission; constructing a bandwidth cost and path independence multi-objective optimization function based on the candidate path set, formalizing a frame replication and elimination FRER path selection problem; and calling a deep Q network DQN redundant path decision algorithm to select a redundant path set from the candidate path set based on the formalized FRER redundant path selection problem. The application realizes dynamic selection of FRER redundant paths in a time-sensitive network, and improves the flexibility of redundant transmission.

The present application relates to the technical field of intelligent transportation, in particular to a wireless self-organizing network dual-network redundancy communication device for traffic intersection. The device comprises a data aggregation processing terminal, containing a wired network communication module, a wireless self-organizing network communication module, a link quality evaluation and optimization unit, and a link detection and switching unit. Multiple intersection devices automatically form a wireless local area network through the wireless self-organizing network communication module. Transmission delay time, packet loss rate and hop count between the device and adjacent intersection devices are measured at a preset period or when the network topology changes, and the optimal second communication link is selected through a weighted comprehensive evaluation model. When the wired network is interrupted, the device automatically switches to the wireless link and transmits to the background server through the optimal path and multi-hop of adjacent intersections. The present application realizes wired and wireless dual-network redundancy backup, guarantees the real-time and reliability of data transmission through the weighted optimization algorithm, and is suitable for high-reliability scenarios such as traffic signal control.

The application discloses a method and system for scheduling service guarantee in a shared private network, and relates to the technical field of network and security. The method comprises the following steps: receiving a data analysis request from an SMF network element; obtaining load information of optional guarantee user plane function UPF network elements and service traffic information of each user terminal of a shared UPF network element in the shared private network according to the data analysis request, and analyzing the load information and the service traffic information to obtain statistical analysis results; and sending the statistical analysis results to the SMF network element, so that the SMF network element determines target guarantee UPF network elements corresponding to each user terminal of the shared UPF network element in the shared private network from the optional guarantee UPF network elements according to the statistical analysis results. The method makes full use of network redundant resources, intelligently schedules service guarantee UPF for users, guarantees service continuity or rapid recovery, and avoids the risk of single UPF overload while ensuring rapid recovery of services.

This invention belongs to the field of artificial intelligence technology and discloses a method for optimizing deep learning network models based on neural network architecture search. The method includes the following steps: Step 1: Constructing a network search space, which is divided into a global search space and a local search space; Step 2: Continuously relaxing the discrete network search space; Step 3: Designing a network decoupling search strategy; Step 4: Training the model on the optimal network architecture obtained in Step 3; Step 5: Testing the trained model and outputting prediction results. This invention uses an automatic neural network architecture search method, employing a continuously relaxed optimization search strategy within the constructed deep learning network space, to find a network architecture suitable for a specific task, reducing network redundancy and improving model performance while simultaneously increasing computational efficiency.

The invention discloses a train fusion positioning method and system based on 5G communication, and the method comprises the steps: obtaining the 5G wireless communication measurement information of a train, including RTT, RSSI, AoA, TDoA and other parameters, and calculating a continuous positioning result of the train based on the measurement information; the system adopts a 5G A network and B network dual-network redundancy design, and a single-network positioning mode, a dual-network fusion positioning mode or a dead reckoning positioning mode is dynamically selected according to signal quality; when the 5G signal quality meets a threshold value, positioning is carried out based on 5G measurement information, and speed sensor data is used as auxiliary verification; and when the signal quality is insufficient, switching to a dead reckoning mode based on the speed sensor. According to the invention, the confidence of a positioning result can be evaluated in real time, and positioning integrity monitoring and grading speed control are implemented; positioning calculations may be performed at an edge computing node (MEC) or an in-vehicle computing unit. The reliability and precision of the positioning system are improved, and the positioning precision can reach the sub-meter level.

The invention relates to the technical field of ship equipment, in particular to a main hull support manufacturing and mounting precision control method, which comprises the following steps of: arranging a common control point in a main hull base area, and performing three-dimensional coordinate measurement on all visible key points on the common control point, a deck cross beam and a hull bottom keel from a plurality of observation station positions, and establishing a space measurement network redundancy observation value. According to the method, the common control points are arranged in the base area, the three-dimensional coordinates are obtained from the positions of the multiple observation stations, redundant observation values are formed, then the weight is distributed to each observation value, the coordinates of the key points are continuously adjusted through iterative solution, and the optimal estimation result after convergence can be obtained under the multi-source measurement condition; and the influence of a single observation station error on the overall precision is avoided.

The invention relates to a rail train speed sensor single-end head-tail redundancy design method, and belongs to the technical field of rail transit. Two speed sensor units, one radar and one set of vehicle-mounted ATP are arranged at the head end and the tail end of a vehicle respectively, the head vehicle-mounted ATP and the tail vehicle-mounted ATP communicate through dual-network redundancy, and therefore dual-network redundancy communication of single-end speed sensor equipment redundancy and superposition of speed sensor information at the head end and the tail end is achieved. The dual redundancy function of the vehicle-mounted ATP single-end and head-tail speed and distance measurement function can be designed and achieved. Single-end speed sensor equipment redundancy is achieved, the reliability of the single-end speed measurement and distance measurement function is improved, meanwhile, the head-tail vehicle-mounted ATP communicates through dual-network redundancy, the head-tail redundancy function of speed measurement and distance measurement information of the head end and the tail end is achieved, and the usability of vehicle-mounted signal equipment is improved.

The application discloses a PLC seamless integration communication method and system based on a DCS double-network redundancy architecture, which comprises the following steps: connecting at least one PLC controller to an existing redundant industrial Ethernet of a DCS system through an Ethernet interface, so that the PLC controller is connected to the controller and the industrial computer of the DCS system in the same local area network domain; configuring network addresses based on the same network segment for all devices connected to the local area network domain; activating an open standard Ethernet communication protocol service in the PLC controller, configuring a corresponding communication client driver in a monitoring operation station of the DCS system, establishing a direct data communication link, and completing mapping configuration of data addresses; based on the local area network domain, enabling the industrial computer to remotely access and maintain the PLC controller through standard engineering tool software of the PLC controller; and providing redundancy backup for the direct data communication link by using at least two independent network paths of the redundant industrial Ethernet of the DCS system, so as to maintain communication.

The application provides a satellite network redundant path landing backhaul method and system. The method is executed on a network controller of a satellite network. When landing service is performed, the landing service specifies a source satellite. A gateway station and a corresponding landable satellite are determined according to a global topology view of the satellite network. The source satellite reaches the landable satellite through one or more inter-satellite links. The landable satellite is connected to the gateway station through a feeder link. A backup landing satellite is selected from a constructed landable satellite set. A segmented routing tunnel is created using segmented routing, and a routing table is updated. When a target feeder link is disconnected, landing traffic is forwarded to the backup landing satellite through the segmented routing tunnel according to a backup matching table item and is sent to a backup gateway station through a backup feeder link, and finally reaches a ground core network. The landing traffic is prevented from being forwarded to the invalid feeder link and unable to land backhaul. After the feeder plan indicates that the feeder is ended, the segmented routing tunnel and the backup matching table item are deleted.

This invention discloses a remote operation and maintenance intelligent primary and secondary integrated ring network box automated complete set of equipment, comprising: acquiring the operating status data of the ring network box; classifying and grading the operating status data; performing differentiated transmission processing on the data based on a multi-technology collaborative fusion mechanism to obtain processing results; and executing remote operation and maintenance operations based on the processing results. The differentiated transmission processing of data of different types and priorities based on the multi-technology collaborative fusion mechanism includes: allocating corresponding network resources and quality of service guarantees for data of different priorities through network slicing and QoS optimization technologies; providing multi-link transmission and automatic fault switching capabilities for data through multi-path transmission and network redundancy technologies; and dynamically adjusting compression strategies and transmission timing based on data content and network conditions through data semantic compression and intelligent transmission technologies. This equipment features high performance, high reliability, and high adaptability.

Methods and systems for scaling energy consumption in wireless network infrastructure, while retaining the ability to quickly scale when load changes. This end is accomplished by using containerized (or virtualized) applications to implement 5G core Network Functions, and utilizing network redundancy / geo-redundancy or a multihoming transport protocol for communication between these containerized (or virtualized) applications and other 5G system elements such as the network functions of the Radio Access Nodes (RANs) or the network functions of 5G Core. In particular, one or more core Network Functions (NFs) are instantiated as containerized applications executing on one or more virtualized hosts in a cloud-native orchestration environment. The containers are selectively activated or deactivated based on a demand for utilization of the associated NF. Because elements of the 5G RAN, 5G Core and one or more NFs are connected to one another via a protocol that supports network redundancy and / or geo-redundancy and / or multihoming, endpoint addressing need not be reconfigured when demand on the NFs changes.

Methods and systems for scaling energy consumption in wireless network infrastructure, while retaining the ability to quickly scale when load changes. This end is accomplished by using containerized (or virtualized) applications to implement 5G core Network Functions, and utilizing network redundancy / geo-redundancy or a multihoming transport protocol for communication between these containerized (or virtualized) applications and other 5G system elements such as the network functions of the Radio Access Nodes (RANs) or the network functions of 5G Core. In particular, one or more core Network Functions (NFs) are instantiated as containerized applications executing on one or more virtualized hosts in a cloud-native orchestration environment. The containers are selectively activated or deactivated based on a demand for utilization of the associated NF. Because elements of the 5G RAN, 5G Core and one or more NFs are connected to one another via a protocol that supports network redundancy and / or geo-redundancy and / or multihoming, endpoint addressing need not be reconfigured when demand on the NFs changes.

The invention relates to the technical field of electrical operation state monitoring, in particular to a main transformer quick switch working state real-time monitoring device. The technical problems are as follows: state information is locally displayed only through a controller panel indicating lamp, faults are found depending on manual inspection, fault processing is lagged, and the stability of an electrical system is influenced; according to the technical scheme, the real-time monitoring device for the working state of the main transformer quick switch comprises a state signal collector, a comprehensive protection unit and a communication module, according to the invention, the original signal of the fast switch controller is directly collected, interference is eliminated through the multipath isolation relay group, the programmable logic module of the comprehensive protection unit converts the original signal into a standard digital signal according to the priority, and the standard digital signal is uploaded to the background through the dual-network redundancy communication interface; the delay from signal acquisition to background response is shortened, the fault discovery time is shortened, and the communication packet loss rate is reduced through dual-network redundancy, so that the problem of signal islanding is solved, the fault discovery processing efficiency is improved, and the working stability of the device is improved.

The invention discloses an FRER path selection method and system based on a GRU and a DQN, and relates to the technical field of industrial internet communication, and the method comprises the steps: building a TSN network model; determining a constraint condition of path transmission based on a TSN network model and a service level agreement (SLA) constraint; based on a TSN network model and a constraint condition of path transmission, calling a gating cycle unit (GRU) candidate path screening algorithm to screen out a candidate path set from the path set; constructing a multi-objective optimization function of bandwidth overhead and path independence based on the candidate path set, and formalizing a frame copy and elimination FRER path selection problem; based on a formalized FRER redundant path selection problem, calling a deep Q network DQN redundant path decision algorithm to select a redundant path set from the candidate path set; according to the invention, the dynamic selection of the FRER redundant path in the time-sensitive network is realized, and the flexibility of redundant transmission is improved.