52 results about "Network redundancy" patented technology

The invention discloses a computing power network redundant path construction method based on multi-modal multi-objective optimization and a scheduling system, and belongs to the technical field of routing optimization in a computing power network. According to the method, firstly, for a constructed multi-objective optimization function including the minimum average time delay of all service traffic, the minimum maximum link bandwidth utilization rate and the maximum successful routing rate of all traffic, a transformer-based deep reinforcement learning and truncation selection strategy is adopted to realize multi-modal multi-objective optimization of routing decision; compared with the prior art that an equivalent path cannot be obtained only through an optimal path, the solving method provided by the invention can make an optimal choice for problems such as routing link faults on the premise of ensuring Qos.

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 invention discloses a key node network redundancy backup method and system based on a 5G technology, relates to the field of network redundancy backup, and aims to realize accurate quantitative perception of a link state by comprehensively evaluating a plurality of network quality indexes and calculating a real-time health score of a main link without depending on a single on-off state. Particularly, an asymmetric switching decision logic is adopted: when a health score of a main link is continuously lower than a fault threshold value, fault switching is triggered; and when the main link is recovered, the healthy component needs to be continuously stabilized above a relatively high recovery threshold value, and after a stable observation period, the recovery back-cut is executed. The asymmetric strategy effectively suppresses invalid switching caused by transient instability of the link, so that the problem of link jitter is solved, and the stability and service continuity of a key node network are remarkably improved.

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 invention provides an integrated platform door controller analog simulation system and method, and relates to the technical field of rail transit, and the system comprises an operation control display terminal which is provided with a plurality of simulation modules; the universal hardware interface platform is provided with various hardware interfaces and is used for being connected with the integrated platform door controller and the monitoring machine thereof through the corresponding hardware interfaces; the at least two Ethernet switches are used for performing multi-network redundancy connection between the operation control display terminal and the universal hardware interface platform and connecting the integrated platform door controller and the monitoring machine thereof with the operation control display terminal; the operation control display terminal is used for providing an operation control display interface, initializing basic functions of each simulation module based on public basic configuration data and configuration data of each simulation module, and performing simulation test on a communication process between each simulation module and the integrated platform door controller and the monitoring machine thereof; and complete, accurate and efficient function test can be carried out on the integrated platform door controller.

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.

The invention discloses automatic complete equipment for a remote operation and maintenance intelligent primary and secondary fusion ring main unit. The automatic complete equipment comprises the following steps: acquiring operation state data of the ring main unit; classifying and grading the operation state data; based on a multi-technology collaborative fusion mechanism, performing differential transmission processing on the data to obtain a processing result; based on the processing result, executing remote operation and maintenance operation; based on the multi-technology collaborative fusion mechanism, differential transmission processing is carried out on the data of different types and different priorities, and the differential transmission processing comprises the following steps: distributing corresponding network resources and service quality assurance for the data of different priorities through a network slicing and QoS optimization technology; multi-link transmission and fault automatic switching capabilities are provided for data through a multi-path transmission and network redundancy technology; through a data semantic compression and intelligent transmission technology, a compression strategy and a transmission opportunity are dynamically adjusted based on data contents and network conditions. The equipment has the characteristics of high performance, high reliability and high adaptability.

The present invention relates to the technical field of battery energy storage system data transmission, and discloses a BMS communication method and system for a sodium-ion battery energy storage system, including setting up a dual-ring network architecture between a BMS host and a plurality of BMUs of the sodium-ion battery energy storage system. Based on the communication network of the dual-ring network architecture, the BMS communication method includes the BMS host sending a first data message to the BMU; the BMU receiving a second data message, the second data message including the first data message or the third data message, the current BMU matching and filtering the second data message according to a preset matching and filtering rule, and processing the second data message based on the current BMU status. The present invention adopts a dual-ring network mode to improve network redundancy, and combines it with a matching and filtering mechanism to achieve forwarding and seamless reception of BMU data, reducing redundancy burden and improving battery management efficiency.

The invention discloses a content addressable hybrid file storage method and device and a storage medium. According to the invention, through combination of specific hardware design and software architecture, efficient, safe and reliable distributed storage and sharing of data in scenes such as families, Internet of Things, enterprises and the like are realized. According to the method, efficient positioning and deduplication are achieved through content addressable, the P2P network is used for optimizing data direct transmission efficiency and reducing center dependence, data reliability is guaranteed through local and network redundancy, and data safety is guaranteed through refined authority control.

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.

A fiber optic cassette may be configured to receive a multifiber connector that may provide network redundancy and increased fiber density. The fiber optic cassette may have an electronic component and a fiber optic adapter portion having a port portion configured to receive a very small form factor (VSFF) connector. The port portion of the fiber optic adapter may optically couple two fibers of the VSFF connector with two optical fibers. The electronic component may optically couple the two optical fibers with a single optical fiber. The electronic component may alternatively merge optical signals from the two optical fibers to the single optical fiber or split an optical signal from the single optical fiber to the two optical fibers so as to provide network redundancy of electronic components optically coupled in parallel to the port by the VSSF connector and / or to increase fiber density of the cassette.

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 discloses a construction method and device for a full-life-cycle parameter recording system of an emergency generator car, and aims to solve the problems of insufficient data acquisition, unstable communication, large positioning deviation, lagging of a wake-up mechanism and the like in operation and maintenance management of key emergency power supply equipment such as the emergency generator car and the like. The method is mainly and technically characterized by comprising the steps of building a multivariate data acquisition system, constructing a high-reliability communication architecture, adopting a precise positioning and quick starting mechanism, designing an intelligent multi-mode awakening system and constructing an intelligent decision and fault prediction mechanism. Multi-dimensional data synchronous collection is achieved through hardware interface expansion and software remote updating, communication is guaranteed through multi-network redundancy switching, precision is improved through fusion positioning, a wake-up mechanism is optimized through multi-sensor fusion and an intelligent algorithm, and the fault prediction accuracy is improved through an innovative algorithm. The method has the beneficial effects that the data acquisition efficiency is improved, the communication reliability is enhanced, the positioning and response are optimized, the wake-up mechanism is innovated, the decision intelligence is upgraded, and powerful support is provided for power emergency guarantee.

The invention discloses a wireless transmission method for relay protection information of a power distribution network, and belongs to the technical field of relay protection. The method comprises the steps of power data information transmission of a mobile network, mobile network transmission containing a distributed power supply grid-connected active power distribution network, self-adaptive current protection of mobile communication and active power distribution network self-adaption of power supply system grid connection. The power data information transmission of the mobile network comprises a network coding method and a data transmission network model; a source node of the network coding method carries out linear combination on original data information of voltage and current, and coding coefficient selection is carried out in a finite field. According to the method, the data transmission network throughput of the network is expanded by adopting network coding, important indexes such as the response time of network information receiving, the data information exchange rate and the packet loss rate are improved, an electric power data information transmission system not only can meet the transmission requirement of electric power data information, but also has enough network redundancy, and the transmission efficiency of the electric power data information is improved. And the method has good expansibility.

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 invention discloses a collaborative management method and system for a multi-domain FC-AE-1553 network, and relates to the technical field of communication, and the method comprises the steps: configuring addresses for each network controller and each network terminal, and implementing a security partition strategy on each FC-AE-1553 subnet switch to realize independent operation of each subnet in a default state and prohibit cross-subnet communication; monitoring the state of each subnet network controller and carrying out fault judgment; after the fault of the network controller of the first FC-AE-1553 subnet is confirmed, enabling the subnet switch to allow cross-subnet communication through authorization configuration, and taking over the network terminal service of the second FC-AE-1553 subnet by the second FC-AE-1553 subnet; and when the fault network controller is recovered, executing a recovery operation to recover the management authority and the switch strategy to a default state. According to the invention, the number of redundant controllers can be greatly reduced, the cost is reduced, the limitation of single-network redundancy is broken through, fault-tolerant backup is realized, and the reliability and expandability of a multi-domain system are improved.

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.