79 results about "Network redundancy" patented technology

The invention discloses an intelligent driving vehicle dynamic network redundancy configuration and switching method in a complex information source scene, and relates to the technical field of intelligent traffic and communication. According to the method, communication quality data of a plurality of communication links at different positions of the unmanned taxi in the driving process are detected, the data are broadcasted to other unmanned taxies around through a vehicle-mounted communication system, and communication quality data broadcasted by other unmanned taxies are received; the method does not depend on a centralized server or a cloud platform, and a signal map is fused and generated in a decentralized manner only based on self-detected and received data; dynamically configuring a network redundancy strategy according to the signal map and a preset task priority; after the strategy is executed, scores are recorded and broadcasted, scores of other vehicles are received, and the strategy is optimized and adjusted in advance. According to the method, the problem of unstable communication in a complex information source scene is solved, and the communication reliability and efficiency of the intelligent driving vehicle are improved.

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 charging pile networks, and discloses a charging pile network redundancy system based on 4G and mesh. The 4G communication module is responsible for data communication between the charging pile and a remote server and ensures that the charging pile can upload charging data and receive a remote instruction in real time; and the Mesh network communication module realizes wireless interconnection between the charging piles, forms a mesh network, and can communicate with other charging piles through the mesh network when 4G communication of a certain charging pile fails, so as to ensure data transmission and instruction execution. The invention provides a charging pile network redundancy system based on 4G and mesh, and solves the problem that equipment cannot be networked for use when mesh of single equipment goes wrong due to the fact that the equipment is not additionally provided with a network redundancy design.

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 present invention provides a method, medium and device for measuring the redundant reliability of a deep neural network. The layer nodes of the deep neural network are clustered based on weight information, the geometric center theory is used to identify the geometric center of each layer of the deep neural network, a network reliability calculation model based on a fault injection strategy is constructed, and the redundant reliability of the network is extracted based on an adaptive convergence strategy; a medium executes a deep neural network redundant reliability measurement program for measuring the redundant reliability of a deep neural network based on the geometric center theory; a computer device stores a computer program for implementing the method for measuring the redundant reliability of a deep neural network based on the geometric center theory. The present invention helps to improve the recognition accuracy and speed up the calculation speed; while realizing the calculation acceleration, it effectively quantifies the influence of different outputs on the network reliability, helps relevant personnel to timely understand and master the corresponding relationship between the network redundancy and reliability, and provides an effective reference and basis for further decision-making.

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.

Example embodiments of the present disclosure relate to methods, apparatuses, a system and storage medium for a network redundancy service. In a method, a master device monitors states of a plurality of physical functions (PFs) of a server where the plurality of PFs is used to enable a plurality of redundant links between the server and a plurality of leaf devices. If a failure of a target PF of the plurality of PFs is detected, the master device transmits an indication of this failure to an interface device. The interface device identifies a list of failed second virtual functions (VFs) which is mapped to the target PF. The interface device transmits the second information to a client device. If a target second VF of a plurality of second VFs of the client device is included in the list, the client device disables the target second VF.

Methods and systems for high speed failover in a network are provided. To provide faster Type C GPON redundancy failover, the disclosure herein describes the use of G.8031 1:1 ELPS in a single ended application to ensure path integrity through the network. Single ended 1:1 ELPS means that a network device is configured with 1:1 ELPS and switches paths in the event of disruption of the working communication path without the other underlying transport entities having knowledge of either the ELPS protocol or state machine. ELPS (Ethernet Linear Protection Switching, ITU G.8031) is a standardized method for protection switching between two point-to-point paths through a network, however its application here is quite novel. During a failure on the working path, traffic will switch over to the protection path. Type C PON protection provides a fully redundant path between the OLT and the ONU (2 separate PONs).

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 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.

A deep well ventilation system is a core link for guaranteeing safe production of a mine and is also a key technical challenge for realizing efficient and green mining of an ultra-large deep well mine. Ventilation energy-saving optimization is an important subject which must be solved by deep well mining. In a deep well ventilation system, reasonable configuration of a communication network structure is a basic guarantee for achieving real-time monitoring of underground environment data and reliable transmission of control instructions. The main contradiction faced by the current deep well communication network design lies in that the network redundancy design introduced for improving the reliability of data transmission can enhance the fault-tolerant capability of the system, but also causes the problems of complex network topology structure and increased construction cost at the same time. In order to solve the technical problem, the invention provides a communication network design and configuration method suitable for a mine ventilation scene. According to the method, a quantitative relation model of the network construction cost and the safety performance is innovatively established, and the optimal network node configuration scheme is determined through target optimization. Particularly, according to the method, the high reliability of the ring network and the high efficiency of the tree network are fused, so that the optimal design of the communication network topology structure is realized, and the network economy is remarkably improved while the system reliability is ensured.

The invention provides an integrated intelligent power supply and distribution system which comprises a power supply part and a power distribution part, the power supply part comprises six power supply modules, and the power distribution part comprises a power output part, six control modules and a monitoring module. A circuit in the system adopts a dual-redundancy backup form, so that the power supply reliability of the system is ensured. And all the components adopt domestic devices, are autonomous, controllable, miniaturized and integrated, can receive multi-path power supply input, have hardware interfaces and network redundancy control, and are strong in functionality and stable and reliable in performance.

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 discloses a light-weight tomato leaf disease detection method based on PCSE-StarNet, belongs to the technical field of plant disease detection, and aims at solving the problems that tomato leaf diseases are diversified in variety, uneven in erosion area, complex in environmental condition, limited in equipment computing power and the like. A convolution kernel extension technology is introduced in the initial feature extraction stage, so that the expression ability of feature information is enhanced; a new hybrid module PCSEBlock is provided, the module organically combines partial convolution (Pconv8), an SE attention mechanism and convolution solution, not only optimizes a feature extraction process, but also significantly reduces network redundancy, and further enhances feature extraction and representation learning ability through a channel extrusion mechanism. The method has the characteristics of high identification precision and lightweight structure, is suitable for tomato leaf disease detection in a resource-constrained environment, and has a great application prospect.

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.

Embodiments of the invention are directed to systems, methods, and computer program products for proactive resiliency, redundancy and security remediation across a network based on dynamic analysis of technology applications. The invention is configured for dynamic and continuous processing of network activity data of a distributed network for proactively identifying network redundancy prior to network activity failure. The invention involves determining whether the entity communication network comprises at least one first redundant technology application associated with the first technology application such that the at least one first redundant technology application renders at least one processing activity of the first technology application resilient. The invention may determine a prognostic failure associated with the first data flow based on determining that the entity communication network does not comprise at least one first redundant technology application associated with the first technology application.

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 present invention relates to a bidirectional redundant mesh network. The redundant mesh communication network uses multiple controllers or controller gateways to route messages and monitor the integrity of wired and wireless mesh system elements. Multiple control units and multiple paths provide various redundant communication solutions, thereby avoiding single points of failure in the network.

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.