87 results about "Topology management" patented technology

The invention relates to the technical field of Internet of Things management, in particular to a lightweight Internet of Things management system based on a star flash protocol stack, which comprises a plurality of modules such as a star flash protocol communication module, a dynamic topology management module and a resource virtualization module. The satellite flash protocol communication module realizes low-power-consumption efficient connection of equipment; the dynamic topology management module optimizes the network topology by using an improved multi-agent Q learning algorithm; the resource virtualization module realizes accurate resource allocation through a weighted bipartite graph matching model; the safety protection module adopts an attention mechanism to detect abnormities and guarantee data safety; the edge co-processing module realizes intelligent task unloading by means of deep reinforcement learning; all the modules cooperatively work under the overall planning of the cross-module coordination controller, and the information barrier is broken. According to the invention, the problems of high communication energy consumption, poor resource allocation, weak security protection, low task processing efficiency, insufficient module collaboration and the like of a traditional Internet of Things system are effectively solved, the system communication efficiency, the resource utilization rate and the security are remarkably improved, and the task processing capability is enhanced.

The embodiment of the invention provides a routing method and device based on satellite processing, and the method employs a time slice division mechanism, and constructs a dynamic network topology structure according to a satellite constellation operation period and a link building rule. And the gateway station uploads the corresponding relation data of the time slice and the network topology to the satellite node for storage in advance. And after the satellite node receives the data, based on the network topology corresponding to the current time slice, the shortest path algorithm is adopted to realize autonomous routing calculation, and a next hop forwarding node is determined. And ensuring that the data is transmitted to the target node along the optimal path through a dynamic routing recalculation mechanism of the relay node. According to the method, the defects of the traditional technology in the aspects of routing real-time performance, topology management, on-satellite processing and the like are effectively overcome, and the performance of a satellite communication network is remarkably improved.

The invention discloses a planning method and system of a power distribution communication access network, particularly relates to the technical field of power distribution communication network dynamic topology management, and is used for solving the problems of fault misjudgment and inaccurate positioning caused by topology update delay in the prior art. A dynamic topological data set is generated by dynamically monitoring the operation state of each optical fiber node and a link transmission signal, a real-time topological view with a dynamic version identifier is generated based on a preset topological planning strategy, and a network change area is quickly locked by combining a topological difference identification technology of an alarm moment and a historical view. Candidate fault links are screened through the conflict relation between link switching frequency and service priority, and the vibration characteristics of the construction machinery are further analyzed by using distributed acoustic sensing data and external force damage interference is eliminated; and finally, optical cable breakage faults are confirmed through optical power interruption verification, heartbeat signal loss detection and redundant optical fiber phase mirror symmetry verification. And multi-dimensional accurate positioning of the topological data fault root cause is realized.

The invention relates to the technical field of foundation pit monitoring, in particular to a foundation pit monitoring system of a self-repairing wireless sensor network and a method thereof, which realize high-precision (+ / -0.5 mm) displacement monitoring by integrating a multi-source heterogeneous data acquisition module, a self-diagnosis processing module, a predictive fault management module, a network topology management module and an intelligent resource scheduling module. The system adopts multi-dimensional information fusion and preprocessing, the perception capability is improved, nodes and network states are comprehensively monitored through a hierarchical health degree evaluation system, a foundation is laid for fault prediction and active maintenance, the system can dynamically adjust a network topology structure, resource allocation is optimized by using a reinforcement learning algorithm, and the system has a wide application prospect. Node task allocation, communication power control and sampling frequency adjustment are effectively executed, and the efficiency and reliability of foundation pit monitoring are remarkably improved.

The invention proposes a smart park energy consumption management system and method based on artificial intelligence, and relates to the technical field of smart park energy consumption management, and the system comprises a data collection module which collects original time sequence energy consumption data and equipment state information; the data preprocessing module is used for performing data quality processing on the original time sequence energy consumption data to obtain preprocessed time sequence energy consumption data; the topology management module is used for constructing an energy consumption relation graph and generating node topology representation characteristics; the feature engineering module is used for obtaining a space-time-business joint feature tensor; the anomaly monitoring module is used for obtaining an anomaly score and outputting anomaly positioning information based on an interpretable analysis method; and the visual display module is used for generating an alarm report and performing visual display. According to the invention, accurate anomaly identification and intelligent positioning analysis of multi-level and multi-energy-type energy consumption data of the park can be realized, and the automation level and the operation and maintenance efficiency of park energy management are improved.

The invention discloses a power distribution network line fault positioning system based on multi-source information fusion, which relates to the technical field of power system operation and maintenance and comprises a data acquisition module, a data preprocessing module, an electric network topology management module, a fault prediction module, a fault judgment module and a man-machine interaction and alarm module. The method comprises the following steps: acquiring running state information from a power distribution network in real time, generating a structured multi-dimensional information database according to the running state information acquired by a data acquisition module, and performing time alignment, format standardization and feature vector construction on the acquired running state information to generate the structured multi-dimensional information database; according to the method, a fault section is preliminarily judged according to fault features, a fault state prediction model is constructed, a multi-dimensional information database is used for estimating state variables of the model, and the method aims at overcoming the defects that in the prior art, fault positioning fuzziness and reliability are insufficient due to the fact that a single information source is relied on.

The invention relates to the technical field of network management, and provides a network topology management method, device and system and a storage medium, and the method comprises the steps: sending a topology discovery request message to a switch under the condition that a topology discovery starting instruction is received, so that the switch broadcasts the topology discovery request message to a second device, the second equipment is other equipment, except the first equipment, connected with the switch in the southbound network; receiving a topology discovery response message forwarded by the switch; and analyzing the topology discovery response message, and establishing a network connection with the second device based on the identification information of the second device obtained by analysis and the local identification information to obtain the network topology information of the first device. According to the invention, the first device sends the topology discovery request message in the southbound network, and all network topology information of the whole southbound network can be collected, so that management and maintenance of the southbound network are realized.

According to the multi-chip link management method and device in the multi-chip verification environment, the global link mapping relation library is maintained through the programmable topology management module, then the link mapping pairs representing the links are added to the global link mapping relation library, and when data transmission between the chips needs to be carried out, the link mapping pairs representing the links are added to the global link mapping relation library; and a receiving end chip identifier of the target link is determined through the global link mapping relation library, and then verification data of the data transmission request is routed to a receiving end chip through the target link. The configuration of the link mapping pair is realized through the global link mapping relation library, and then the connection relation of the chip and hardware are decoupled, so that the dynamic management of topological connection and the connection of links are completed, the steps of manual configuration are reduced, the risk of manual errors is reduced, the verification cost is reduced, and the verification efficiency is improved.

The invention relates to the technical field of artificial intelligence chips, and provides a topology management method and system, electronic equipment and a storage medium, and the method comprises the steps: receiving equipment link information and switch port information reported by each client; based on a model distributed training mode and the equipment link information and the switch port information of each client, generating equipment external interconnection topology information; and issuing the device external interconnection topology information to each client, so that each client analyzes the device external interconnection topology information and performs topology configuration on each local interconnection device based on an analysis result, and the interconnection devices are devices connected with a switch box. According to the invention, each client automatically reports the local equipment link information and the switch port information, and the server automatically generates the external interconnection topology information of the equipment and issues the external interconnection topology information to each client, so that automatic topology configuration is realized, the configuration process is greatly simplified, and the configuration efficiency is improved.

The invention relates to a node complementation wireless networking communication system applied to an urban rail transit power management system, and aims to solve the problems that a traditional wired communication mode is complex in wiring and poor in expansibility, and a conventional wireless technology is insufficient in reliability in a complex electromagnetic environment of rail transit. According to the system, a wireless communication network with self-organizing and self-repairing characteristics is constructed through an innovative distributed network architecture and an intelligent routing technology, and the system can adapt to communication requirements in a special environment of rail transit. The system mainly comprises five functional modules: a network topology management module adopts a distributed self-organizing architecture, realizes automatic discovery and dynamic networking of nodes, and supports role conversion and elastic expansion; the intelligent routing optimization module adopts an improved dynamic routing algorithm to realize multi-path transmission and self-adaptive modulation, so that the anti-interference capability is remarkably improved; the protocol adaptation conversion module performs wireless optimization on industrial protocols such as Modbus, supports multi-protocol conversion, and solves the problem of equipment compatibility; the network self-healing module provides rapid fault detection and switching capability within 50ms, and ensures the service continuity; the safety management module realizes bidirectional authentication and end-to-end encryption, and meets the high safety requirement of rail transit. In a word, the system remarkably improves the communication reliability of the urban rail transit power supply management system, reduces the construction and maintenance cost, and provides reliable technical support for intelligent operation and maintenance.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, an enhanced distributed unit (eDU) may transmit, to a first network node, a first configuration relating to a first cell. The eDU may receive, from a second network node, a second configuration for a user equipment (UE), the second configuration including information relating to the first cell. The eDU may communicate with the UE in accordance with the second configuration. The eDU may receive, from the first network node, a cell characteristic relating to a second cell. The eDU may transmit, to the UE, a third configuration, wherein the third configuration is based at least in part on at least one of the first configuration or the second configuration. Numerous other aspects are described.

The invention discloses a method for realizing point-to-point communication between nodes in a mobile cellular network. The method specifically comprises the following steps of: creating a virtual network card on each terminal device, distributing a virtual IP (Internet Protocol) address, and establishing a service gateway for grid topology management and data forwarding. Each node is connected with the service gateway through a network to form a grid topological structure, the nodes send data packets to the service gateway through the virtual network card, the service gateway searches the corresponding node connection according to the target virtual IP address of the data packets and forwards the data packets, and the target node receives the data packets and transmits the data packets to the local network protocol stack for processing through the virtual network card. The invention further provides an identity authentication mechanism based on the secret key and the certificate, and communication safety is guaranteed. The virtual private network constructed by the scheme of the invention breaks through the limitation that nodes in a cellular network only have dynamic virtual IPs and do not have public network IPs, improves the communication efficiency, reduces the energy consumption, and enhances the network topology adaptability.

The invention discloses a computer vision processing system based on machine learning, and the system comprises a dynamic topology management module which constructs and maintains a dynamic knowledge graph of a camera network in real time through a graph neural network technology, and carries out the topology self-adaption; the intelligent search module is used for dynamically selecting an optimal monitoring node for query based on a reinforcement learning technology; the multi-modal detection center is used for integrating multi-modal data, carrying out flame / smoke detection by combining an OfficientDet-D7 model with an optical flow method, integrating living body detection in a face recognition model trained in an MS1M-ArcFace data set based on an ArcFace framework to resist attacks, and carrying out multi-target tracking and cross-camera re-recognition by utilizing a DeepSORT algorithm; the distributed early warning system is used for triggering graded early warning through a dynamic threshold engine and carrying out context-aware false alarm suppression and key alarm priority response; the data persistence layer is used for storing structured data by adopting MongoDB fragmentation clusters and storing original video streams by adopting MinIO object storage; and the edge calculation node is used for locally executing lightweight calculation.

The invention relates to the technical field of intelligent learning planning, and discloses an intelligent learning planning system based on multi-dimensional learning data driving. Comprising a main control module, a multi-modal data acquisition module, a data quality enhancement module, a multi-modal feature fusion module, a dynamic strategy planning module, a man-machine intention alignment module, a knowledge topology management module, an evaluation and federal optimization module and an auxiliary visualization module, and the main control module is used for coordinating operation of each module and data scheduling; the multi-modal data acquisition module acquires HRV, EDA and other physiological signals through a wearable device, records a fixation track and an alpha wave proportion through an eye tracker / electroencephalograph, and receives a user instruction in real time through a voice interaction device. According to the method, the dynamic adaptability is higher, full-process dynamic adjustment of stage division-parameter fine adjustment-load balance is achieved through hierarchical reinforcement learning and NSGA-III optimization, and a learning path can be flexibly adapted according to the real-time state (such as sudden fatigue and rapid knowledge point mastering) of a user.

The invention discloses a multi-scene virtual language dialogue training method and system, and relates to the technical field of language training, and the system comprises a scene topology management module which is used for constructing a dynamic scene relation graph and comprises a scene node library which stores the semantic vector of each scene, a dialogue strategy template and a trigger rule; the dynamic edge weight calculation unit is used for updating the connection weight between the scenes in real time based on the semantic similarity and the historical behavior data of the user; cross-domain dialogue intelligent migration is realized through the dynamic scene relation graph, and the deployment cost is reduced; capturing emotional fluctuation in real time through multi-modal sensing and optimizing a strategy; efficient data transmission supports immersive interaction; adversarial training enhances logic and emotion processing capabilities.

Systems / methods for setting up, maintaining, and managing network topologies provide a network topology manager. The network topology manager incorporates existing standardized concepts as described in OPCUA and IEC / IEEE 6082, and adds an additional dimension of time. This allows users to construct TSN-based networks from a system level view based on a network-oriented perspective, as opposed to a device-oriented perspective, and automatically determines whether TSN timing requirements are satisfied. The network topology manager provides the foregoing features and other features through a graphical interface that allows users to quickly set up and configure a TSN-based network. Such a network topology manager advantageously extends beyond the capability of currently available network topology manager viewers and applications to encompass the OPCUA / TSN domain.

Disclosed are a topology management method, apparatus and device, and a network. The method is applied to the field of communications. A first device is connected to a second device by means of a port. The first device is located in a first network, the second device is located in a second network, and the first network and the second network are independent. The method comprises: sending a topology query request message to a second device; and receiving a topology query response message from the second device. Two newly connected devices send the topology query request message to each other to discover the topological structure of the network where the opposite end device is located, and a combination operation is performed with a local topological graph to obtain a combined topological graph, that is, topology discovery can be completed by means of one topology query request, and the topological graph of the network where the device is located is updated in real time, which significantly improves the topological convergence speed.

This invention discloses a two-end reliability assessment method and system for SDN based on OBDD. Leveraging the centralized control and easy programming characteristics of SDN, this method establishes an SDN two-end reliability assessment model. By designing the topology management module and path calculation module within the network model, a two-end minimum path set that meets bandwidth and latency constraints is obtained. A minimum path set-breadth-first search algorithm is used to determine the variable ordering of the BDD. The corresponding OBDD is constructed using the Shannon formula in the OBDD construction module. Finally, the reliability assessment module recursively calculates network reliability from the bottom up, completing the SDN two-end reliability assessment. This method combines methods such as the constrained adjacency endpoint matrix algorithm, the minimum path set-breadth-first search algorithm, and the ordered binary decision diagram (OBDD) to assess connectivity reliability in SDN, demonstrating good scalability.

Since IP network topology often has a clear hierarchical structure, using community detection algorithm in graph theory can divide the topology into several regions with high cohesion and low coupling, and selectively spread the routing update in the region to other regions, which can effectively avoid the calculation amount of full routing simulation, and realize fast and accurate IP network routing simulation reasoning. The application proposes an IP network routing simulation reasoning method based on community detection, which first divides the whole network into multiple cluster structures based on the community detection algorithm, and the shortest path between the nodes in the cluster does not pass through other clusters, and uses this division result as the basis for calculating the routing update. Then, the change operation of the network topology is accurately identified, and according to the network elements involved in the change point and the cluster information to which they belong, the network element node pairs that need to be recalculated are further arranged, and the SPT tree of the node pairs is recalculated and the routing update is performed. At the same time, an IP network routing simulation reasoning device based on community detection is proposed, which includes a topology management module, a network configuration module, a network segmentation module, a change analysis module and a routing calculation module, to realize the topology segmentation and routing simulation reasoning process of the IP network.

The application discloses a product service network simulation platform based on multiple agents, and belongs to the field of service computing and simulation platform. The simulation platform comprises an agent template library, a digital twin interface, a topology manager and a simulation controller. The agent template library provides agents for representing roles in the product service network, and configures a predefined element attribute template for each agent. Each agent further comprises an agent memory set, which is divided into a short-term working memory, a long-term fact memory, a situational memory and a reflective memory. The digital twin interface acquires and records external simulation environment data in real time or periodically, ensures that the historical data is auditable, and inputs the data into the agents. The topology manager is used for mapping the interaction relationship of the roles in the product service network into the interaction relationship between the agents. The simulation controller is used for simulating each agent. The application breaks through the bottleneck of computational efficiency and scalability, and reduces the technical threshold of complex simulation construction and analysis.

The invention discloses a mesh network topology management method, a mesh network topology management device and electronic equipment. The method is used for gateway devices in a mesh network, the mesh network comprises a plurality of gateway devices and a plurality of node devices, and the method comprises the following steps: acquiring first network information between the plurality of gateway devices and the node devices; obtaining first target data; and selecting a first target gateway device from the plurality of gateway devices according to the first network information, so as to send first target data to the target node device through the first target gateway device. By adopting the processing mode, when the data is sent to the node equipment, the plurality of gateway equipment cooperatively manage the network topology, and one better gateway equipment is selected to send the data to the node equipment, so that only one communication link exists in the same physical space, the interference of wireless signals in the air is avoided, and the data transmission efficiency is improved. Network congestion and transmission delay are avoided; therefore, the data transmission efficiency and the user experience can be effectively improved.

The present invention discloses a multi-scenario virtual language dialogue training method and system, which relates to the technical field of language training. It includes a scenario topology management module for constructing a dynamic scenario relationship graph, which includes: a scenario node library for storing semantic vectors, dialogue strategy templates and trigger rules of each scenario; a dynamic edge weight calculation unit for real-time updating the connection weights between scenarios based on semantic similarity and user historical behavior data. The present invention realizes cross-domain dialogue intelligent migration through a dynamic scenario relationship graph, reduces deployment costs; multi-modal perception captures emotional fluctuations in real time and optimizes strategies; efficient data transmission supports immersive interaction; adversarial training enhances logical and emotional processing capabilities.

1. The name of the design product: topology management graphical user interface of electronic device. 2. The use of the design product: for an electronic device. 3. The design points of the design product: the graphical user interface displayed on the electronic device. 4. The picture or photo that best shows the design points: front view. 5. The use of the graphical user interface: the graphical user interface is used for topology management; the front view is a topology management display page, and the user can jump to the interface change state diagram by clicking the save button in the upper right corner of the front view interface to view and manage related information. 6. Other circumstances that need to be explained: "XX" in the interface represents replaceable text and / or numbers and / or letters and / or symbols.

Provided are a communication method and a communication device, the method comprising: a first IAB node receiving a BAP address set, the BAP address set comprising M BAP addresses of the first IAB node, each of the M BAP addresses being associated with one of N host nodes, M being an integer greater than 1; the first IAB node manages a connection relationship with the N host nodes according to the BAP address set, and configures a plurality of BAP addresses for a single IAB node, and each BAP address corresponds to one host node, so that the IAB node can adopt one or more BAP addresses as required, and is connected to a correct host node through a corresponding path, and thus, the efficiency of the IAB node is improved. And the effectiveness of topology management is improved.

This invention provides a satellite network topology management method and system based on feeder link switching. The method includes: constructing a continuously time-varying network topology model, and storing the availability sequence, available bandwidth sequence, and propagation delay of each link; responding to new service requests and obtaining the source satellite node and the target ground station; selecting the target feeder link and its effective connection period based on link status information; screening inter-satellite links that are continuously connected within the time period to form a candidate set, and calculating the average propagation delay and minimum available bandwidth of each link to construct a temporary topology; calculating the transmission path from the source satellite node through inter-satellite links and the target feeder link to the target ground station on the temporary topology; and locally updating the available bandwidth sequence of each link on the path according to the path and bandwidth requirements. This invention achieves efficient management of highly dynamic satellite-ground networks through feeder link event-driven and continuously time-varying modeling, improving service continuity and reducing management overhead.

The invention discloses a distributed computing system based on a fungal hypha network topology structure. The distributed computing system comprises a topology management module which generates a dynamic connection signal by simulating biological behaviors of fungal hypha growth and fusion; the signal diffusion module receives the dynamic connection signal and generates a routing diffusion signal, and the routing diffusion signal asynchronously propagates a state and an instruction between nodes by simulating a chemical signal transduction mode in a hypha network; the resource scheduling module receives the route diffusion signal and generates a task scheduling signal; the node collaboration module receives the task scheduling signal and generates a collaboration computing signal, and the collaboration computing signal is used for coordinating a plurality of computing nodes to jointly execute a single distributed task; the topology management module also receives a node state feedback signal from the node cooperation module. According to the distributed computing system based on the fungal hypha network topology structure, the problem that a distributed system lacks self-adaption, high robustness and low-energy-consumption consensus can be solved.

The invention discloses a smart home ad hoc network system and method based on sound wave communication and dynamic topology. The system comprises smart home equipment nodes, a sound wave communication module, an environment sensing sensor, an environment modeling engine module, a dynamic topology manager, a security encryption module and a topology discovery protocol module. A sound wave / radio frequency transmitting module is arranged in the smart home equipment node; the intelligent household equipment node is connected with the sound wave communication module, the environment perception sensor and the security encryption module. According to the system, network construction can be automatically completed after the equipment is powered on, the manual operation error rate is reduced, self-adaptive routing and topological optimization of a smart home equipment network can be achieved, the network stability and performance are improved, the labor cost and time consumption are reduced, high-safety communication can be achieved by combining the sound wave communication technology and the voiceprint encryption technology, and the communication efficiency is improved. And the password leakage risk is reduced.

The application provides a multi-chip link management method and device in a multi-chip verification environment. A programmable topology management module is used to maintain a global link mapping relationship database, and then a link mapping pair representing a link is added to the global link mapping relationship database. When data transmission between chips is required, the receiving end chip identifier of the target link is determined through the global link mapping relationship database, and then the verification data of the data transmission request is routed to the receiving end chip through the target link. Since the link mapping pair is configured through the global link mapping relationship database, the connection relationship of the chips is decoupled from the hardware, thereby achieving dynamic management of the topology connection and the connection of the link, reducing the step of manual configuration, reducing the risk of human error, thereby reducing the verification cost and improving the verification efficiency.

The invention relates to the technical field of solid state disks, and discloses a physical block topology management method and device of an SSD, computer equipment and a storage medium. The method comprises the following steps: obtaining an RU number distribution set by adopting vertical division; calculating according to the number of standard dies, marking an invalid RU id by using a valid flag, and putting the special-shaped topological dies which do not participate in calculation into a special-shaped block patch pool; a vacant RU id is searched, and compensation is carried out by using a corresponding granularity die so as to obtain a physical block topology combination relationship; and traversing the physical block topological combination relationship, and placing the remaining patch blocks in the vacant RU id of the same concurrent channel in sequence or placing the remaining patch blocks in the vacant RU position in sequence. By implementing the method provided by the invention, the accuracy and the high efficiency of the RU number distribution set are ensured, the management complexity is simplified, the conflict and the confusion of the RU numbers are effectively avoided, and the effectiveness of the RU numbers is improved.

Disclosed are topology management methods and a topology management apparatus, and a device and a network, wherein the methods are applied in the field of communications. A first device is connected to a second device via a port. A topology management method comprises: sending a topology change request message to the second device; and receiving a topology change response message, which is sent from the second device, wherein the topology change request message comprises a packet header and a topology change identifier, the packet header comprises a type field and a response field, a first value of the type field being used for indicating a topology change, and a first value of the response field being used for indicating a request message, and the topology change identifier is used for indicating the order between topology change request messages generated by the first device; and the topology change request message comprises a packet header, and the packet header comprises a type field and a response field, a first value of the type field being used for indicating a topology change, and a second value of the response field being used for indicating a response message. The order of packets is perceived, such that the occurrence of an abnormal state of a packet and the spread of an error are avoided, thereby improving the reliability of information synchronization.