1246 results about "Network management" patented technology

The invention relates to the technical field of water network intelligent management and control, and discloses a water network management and control multi-source space digital intelligent fusion base construction and decision optimization method, which comprises the following steps: cooperatively obtaining multi-source space data; format conversion, coordinate system unification and systematic semantic annotation are carried out through a data preprocessing platform, and a normalized spatial data set is formed; constructing a data fusion model, quantitatively evaluating the quality of a data source by adopting a fuzzy comprehensive evaluation method so as to determine a fusion weight, and performing weighted fusion by adopting a specific algorithm aiming at different data types such as vectors, grids and three-dimensional models so as to generate a unified spatial data model; and finally, a decision optimization system performs decision scheme generation and iterative optimization based on the model in combination with a hydrodynamic model and a genetic optimization algorithm. By establishing a standardized data processing and targeted weighted fusion process, the problems that multi-source heterogeneous data is difficult to integrate and the fusion precision is not high are effectively solved, and a reliable data base is constructed.

Disclosed are methods, systems, devices, and other implementations, including a method that includes obtaining measurement data from at least part of a wireless communication network during a first interval of time, with the measurement data including measurements indicating whether there are potential disturbances to operation of the wireless communication network. The method further includes determining, based on the obtained measurement data, predictive data representative of future performance of the wireless communication network at one or more future time instances subsequent to an end of the first interval of time, and managing resources of the wireless communication network based, at least in part, on the determined predictive data representative of the future performance of the wireless communication network at the one or more future time instances subsequent to the end of the first interval.

The invention discloses an intelligent underground drainage pipe network management method and system, and relates to the field of drainage pipe network management, and the method comprises the steps: obtaining the real-time liquid level and real-time flow of an upstream monitoring point of a target pipe section; dividing the monitoring data into water rising time period data and water recession time period data; two-way resistance characteristic analysis is conducted on the liquid level-flow model, resistance release characteristics and resistance recovery characteristics are recognized, and the resistance release characteristics are that when the liquid level at the water rising time period or the water rising and recession junction reaches a first threshold value, the flow is sharply increased, and the liquid level is stagnated in rising amplitude or suddenly changed in falling; the resistance recovery characteristic is that the liquid level rebounds and rises when the flow is reduced to a second threshold value in the water recession period; when the two types of features are detected at the same time, it is preliminarily judged that soft intermittent blockage abnormity exists in the target pipe section; and generating a flexible dredging management work order based on a judgment result, and updating an asset state mark in a pipe network operation and maintenance database. The method solves the problem that it is difficult to timely and accurately identify the soft intermittent blockage abnormity and carry out linkage operation and maintenance disposal.

The invention relates to the technical field of urban drainage pipe network detection and evaluation, in particular to an intelligent pipeline defect evaluation method based on a multi-modal large model. The evaluation method comprises the following steps: firstly, carrying out defect identification on a pipeline detection video based on a deep learning model to obtain a series of defect images containing defect types and positions, and carrying out statistics and segmented scoring on the positions of the defects and the number and distribution of pipe section defects; then, the obtained images with defects are transmitted to a multi-modal large model for deep analysis, scoring is performed from multiple aspects such as the position and size of the defects, the influence on the pipeline structure and the use stability, and the scoring standard and rule are unified by adopting fixed cue words; and finally, weighting by using the two scoring results to obtain the comprehensive score of each pipe section, and synthesizing the scores of each pipe section into the comprehensive score of the pipeline. The evaluation objectivity and accuracy are remarkably improved, the detection and evaluation efficiency is greatly improved, the maintenance decision is more scientific and accurate, and the pipe network management level and safety are improved.

Techniques are described for onboarding a plurality of devices using a network management system (NMS). The NMS has memory and one or more processors coupled to the memory, the one or more processors configured to obtain onboarding information of a first device of a plurality of devices; assign, based on obtaining onboarding information of the first device, the first device to a group of devices to be managed by the network management system; and based on assigning the first device to the group of devices to be managed by the NMS, automatically assign a second device of the plurality of devices to the group of devices to be managed by the network management system.

An embodiment method for managing at least one vehicle network including at least one electronic control unit (ECU) among a plurality of ECUs in a vehicle network management apparatus is provided, which may include, based on information of at least one default partial network cluster including at least one ECU among the plurality of ECUs according to at least one default partial network function provided by default in a mapping database, configuring a new partial network cluster by adding an ECU according to user customization to the at least one default partial network cluster, and storing information of the new partial network cluster in the mapping database.

The present application relates to the technical field of network management and relates to an all-optical networking device control method, system and apparatus, and a communication device, a storage medium and a computer program product. The method comprises: in response to determining, on the basis of a first release message of a target device and a second release message of a master device, that the target device satisfies a preset legitimacy condition, determining location information of the target device in the network hierarchy of all-optical networking, wherein the first release message is acquired on the basis of a sub-level interface in a communication bus, and the second release message is acquired on the basis of a master-level interface in the communication bus; and on the basis of the communication bus and the location information of the target device in the network hierarchy of all-optical networking, sending a target control policy to the target device.

Systems, methods, and devices are disclosed herein for an application service that utilizes a large language model (LLM) to assist with performing management tasks associated with a wireless communications network. In an implementation, the application service receives natural language input indicative of a management task to complete with respect to the network. The application service identifies a context of the management task, which helps constrain the LLM to the appropriate domain(s). The application service generates a prompt that incorporates the task and the context and submits the prompt to the LLM. The application service receives from the LLM a reply that includes a plan that details a series of steps and associated resources of the domain for completing the management task. Upon receiving the LLM's reply, the application service performs the management task based on the provided plan.

The application provides a network management intention management method, device and system, and the method comprises the following steps: determining that the execution of a first management action group fails to achieve a target of a network management intention in a range of a managed entity set of the network management intention, wherein the managed entity set comprises at least two managed entities, and the first management action group comprises at least one action for managing the managed entity set; and executing the first management action group or a second management action group to achieve the target of the network management intention in a range of a managed entity subset, wherein the managed entity subset is a subset of the managed entity set, and the second management action group comprises at least one action for managing the managed entity subset. Thus, a flexible network management intention management mode is provided.

The invention discloses a bank network equipment monitoring and operation and maintenance system and method based on a time sequence snapshot, and belongs to the field of communication network management, the system comprises a user interaction layer, a back-end business logic layer, a data storage layer, an acquisition execution layer and a managed equipment layer; the method comprises the steps of system initialization, equipment information input and verification, acquisition strategy generation, data acquisition and storage, interaction between a user and time sequence data, and snapshot comparison and alarm linkage. Multi-time-point state comparison and abnormal alarm are supported, refined monitoring, intelligent analysis and visual operation and maintenance of bank network equipment are realized, and the operation and maintenance efficiency and safety are improved.

The invention provides a power distribution communication network topology optimization system based on the Internet of Things, and relates to the technical field of power Internet of Things, which obtains and fuses topology and fault state data from a power grid SCADA system and slice performance and bearer network state data from a 5G network management system in real time. The system can construct a fusion state vector comprehensively describing the power grid-communication network joint operation situation. The vector is input into an intelligent decision-making model based on imitation-reinforcement learning training so as to generate an optimal action instruction in real time. The instructions are accurately analyzed into dynamic adjustment commands for 5G network slice resources and routing policy change instructions for key service flows. According to the concept, the problems that in an existing scheme, a communication network perceives the power grid state blindly, and slice resource configuration is rigid are solved, communication resources can be instantly and intelligently inclined and reconfigured according to the real-time and specific requirements of the power grid, and the stability and safety of power grid operation are improved.

Techniques are described for a network management system (NMS) configured to determine a root cause of an issue in performance of an application session, and perform one or more actions to remedy the issue. For example, the NMS is configured to obtain application performance data of an application session including a plurality of users; determine, based on the application performance data, a contributing user that contributed to an issue in performance of the application session; obtain network data or non-network data of one or more devices of a network associated with the contributing user; determine, based on the network data or non-network data of the one or more devices of the network associated with the contributing user, a root cause of the issue in performance of the application session; and perform an action to remedy the root cause of the issue in performance of the application session.

The invention relates to the technical field of intelligent manufacturing and supply chain collaborative management of woven garments, in particular to a garment production process management system based on artificial intelligence, and the system comprises a production network management center which is used for obtaining a node execution entropy value; the demand dynamic analysis unit is used for carrying out feature extraction analysis on the collected unstructured design data to obtain an order complexity coefficient; the strategy game matching unit is used for obtaining a steady-state scheduling signal or a recovery scheduling signal; when a steady-state scheduling signal is generated, the collaborative scheduling execution unit is used for generating a global optimal scheduling instruction, and minimizing turnover time is taken as an optimization target; when a recovery scheduling signal is generated, the collaborative scheduling execution unit is used for generating a risk recovery scheduling instruction, taking a minimum node execution entropy value as an optimization target, and actively inhibiting pursuit of turnover time; according to the method, the problem that the hidden risk of the node cannot be sensed in the prior art is effectively solved, and an accurate quantitative basis is provided for subsequent preventive scheduling.

The invention discloses a network management authorization security management method and system for an electric power communication network, and relates to the technical field of network security management. The method comprises the following steps: constructing a layered block chain network architecture; a user request is received, dynamic risk assessment is performed, a multi-factor identity authentication process is triggered, and after identity authentication is passed, an intelligent contract verifies the permission and generates a minimum permission access token; and the client accesses the token by means of the minimum authority, establishes an under-chain state channel, exchanges operation instructions and logs under the chain during the session, submits the aggregated hash values and the final states of all the operation logs to the slave block chains for evidence storage when the session is ended, and regularly anchors the state abstract of each slave block chain by the master block chain, so that the state abstract of each slave block chain is obtained. And completing global auditing traceability. The technical problem that in the prior art, network management operation authorization management of an electric power communication network lacks safety and traceability is solved, and the technical effects of improving the safety and credibility of network management operation authorization and achieving traceability of the whole operation process are achieved.

The invention relates to the technical field of network monitoring, in particular to a computer network data flow monitoring system and method, and the system comprises a data flow collection module, a protocol layer analysis module, a time sequence feature extraction module, a defect compensation reconstruction module and a monitoring result output module. According to the method, a continuous difference track can be formed by extracting protocol fields and marking change time points in data stream acquisition, a cross-layer synchronization index is generated by calculating the interval and the sequence of adjacent fields, so that a cross-layer relationship is quantized in a dynamic process, quantile regression is adopted in feature processing to unify a numerical interval, and the accuracy of the cross-layer relationship is improved. Compared with the prior art, the method guarantees the comparability under different time scales, can rapidly identify an abnormal section when cross-layer synchronization is broken, deduces a potential mode in combination with feature values before and after abnormity, reconstructs defect information in a probability mode, enables the result to have the abnormity recognition precision and the flow monitoring integrity, and improves the network management efficiency and safety.

Systems and methods are disclosed for optimizing network routing and data processing through dynamic route optimization. The invention features a dynamic route optimization engine that uses real-time performance metrics such as latency, bandwidth availability, memory utilization, CPU load, and throughput capacity. It allows for rule-based configurations, enabling custom parameters for transaction processing, data retrieval, and user authorization. Integration with network monitoring tools provides continuous visibility into network performance. The system supports multi-cloud and hybrid cloud environments, dynamically selecting optimal paths based on real-time conditions and regulatory compliance. Predictive analytics anticipate network congestion, allowing proactive routing adjustments. Adaptive algorithms learn from past conditions to optimize performance continuously. Scalability is achieved through automated updates to routing tables and security groups. The invention reduces latency and ensuring efficient data transfer, providing a cost-effective and reliable solution for modern network management, addressing a long-standing need for adaptability and efficiency in network routing.

The invention discloses a network service fault detection method, device and system, electronic equipment and a storage medium. The core network management device obtains a detection service, constructs a detection task according to the detection service and distributes the detection task to at least one edge network device, the edge network device executes the detection task to obtain a detection result and reports the detection result to the core network management device, and the core network management device analyzes the detection result and sends the analysis result to the detection server. And generating a whole network service state report. A complex detection task is decomposed into a distributed architecture of core definition and edge execution, the core network management device is responsible for definition and management of complex service logic, the edge network device executes a specific detection task, the architecture of service and data separation greatly reduces the performance requirement for the edge network device, and the service and data separation efficiency is improved. Therefore, common network equipment can complete complex service detection, high cost of special high-performance probe equipment is avoided, and hardware investment is remarkably reduced.

The disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. Embodiment herein provide a method performed by a service provider (SP) in an edge network. The method comprises transmitting, to an edge enabler server (EES), a request message for edge application server (EAS) discovery failure performance measurement; receiving, from the EES, a response message including at least one parameter associated with the EAS discovery failure performance measurement; determining whether an instantiation of the EAS is needed or not based on the at least one parameter; and performing instantiation of the EAS in case that the instantiation of the EAS is needed.

The invention provides a comprehensive service intelligent management method, which comprises the following steps: S1, acquiring a service demand submitted by a user, and analyzing and generating a resource configuration scheme through an AI algorithm; s2, the resource configuration scheme is automatically checked through an AI auditing engine, and manual auxiliary auditing is triggered; s3, automatically executing cross-system equipment configuration and verifying link performance according to the resource configuration scheme passing the audit; and S4, on the basis of the real-time monitoring data, utilizing an AI algorithm to predict equipment faults and schedule maintenance tasks. According to the method, through full-process AI enabling and cross-system collaborative management, the core pain points of low efficiency, fault processing lagging, non-standard auditing and high cost in traditional communication network management are effectively solved, and powerful support is provided for intelligent, efficient and low-cost operation of the communication network.

The invention discloses an autonomous management method for an optical network, and the method comprises the steps: collecting the physical layer state data of an optical channel through a plurality of sensing nodes in an optical transmission system; synchronizing the physical layer state data to a digital twin, and constructing and updating virtual mapping corresponding to the physical optical transmission system; in the digital twin, the transmission performance of the optical channel is evaluated and the future state of the optical channel is predicted based on the physical layer state data; according to the autonomous management method and system of the optical network provided by the embodiment of the invention, the operation and maintenance efficiency can be effectively improved by constructing an intelligent network management closed loop, and the manual intervention demand is reduced. The system has a prospective risk assessment capability, can avoid potential faults in advance, and significantly enhances the reliability of network operation. Meanwhile, the resource utilization efficiency is continuously improved through an autonomous optimization mechanism, and a powerful guarantee is provided for long-term stable operation of the optical network.

Approaches presented herein relate to the analysis and / or management of a communication network including resources from multiple, independent communications networks. At least one edge device can be placed within individual communication networks, allowing for the capture and anonymization of data from the various provider networks. The data for various users can be aggregated by location and associated with an identifying key. A cloud-based service can generate a snapshot using this data from the various individual networks, and a decision engine can be used to generate a set of recommendations or actions to improve operation (e.g., performance or security, etc.) of the network or perform actions such as disaster recovery. The recommendations or actions can be provided for individual devices, locations, communication networks, or providers but based upon the data aggregated and analyzed across multiple individual networks.

A network management method running on a network management device is used to determine a device configuration of a network device. The network management method includes obtaining a model name and a firmware version of the network device according a plurality of network protocols; obtaining or generating a device profile according to the model name and the firmware version; and generating or updating the device configuration of the network device according to the device profile. The step of generating the device profile according to the model name and the firmware version further comprises determining at least one probing control item of the network device according to the device profile; and probing an access interface of the at least one probing control item according to the plurality of network protocols respectively to update the device profile.

The invention discloses a carrier rocket avionics system based on a TSN (Time Sensitive Network) and a carrier rocket avionics data transmission method, and belongs to the technical field of carrier rocket control. A network is physically or logically divided into a periodic time-sensitive data stream, a high-speed time-sensitive data stream and a best effort data stream, the three data streams are subjected to isolation management, and transparent interconnection between a 1553B bus network and a TSN switching network is realized on a protocol layer through an intelligent protocol conversion gateway. Meanwhile, in a network management layer, through an instruction response type configuration protocol, common Ethernet equipment is seamlessly incorporated into the global scheduling and control category of the TSN network. According to the invention, by constructing the avionics network system with three-layer partition and dual-network fusion, multi-network seamless fusion on the rocket can be realized, the real-time performance of the network is improved, and the key requirements of rocket recovery are met.

Systems and methods for configuring and managing a network device with a transformer model under control of a network control function (NCF) are disclosed. A processor of the NCF receives a request that identifies a network management task and associated service targets. The processor forms a token set of schema-defined tokens that represent network context, applies positional encodings to generate an ordered token sequence, and invokes the transformer model to produce a configuration patch. The configuration patch is validated against a schema-constrained decoder that enforces device grammar and is applied to the target network device. Device state and telemetry are read back to obtain a read-back state, which is evaluated against the service targets. When telemetry deviates, the processor generates a further configuration patch that modifies a bounded subset of parameters relative to the read-back state to restore compliance

The invention discloses a self-checking router network communication system, which belongs to the technical field of router network communication, and comprises a hardware module and a software module, the hardware module comprises a central processing unit used for executing system instructions and processing data, a storage unit used for storing temporary data, basic starting programs and key configuration files, and a network interface used for being connected with an external network. The software module comprises a self-checking program used for carrying out comprehensive self-checking on system hardware and software, a communication protocol stack used for realizing encapsulation, de-encapsulation and transmission of network data, and a network management module used for configuring, monitoring and managing the system; the self-checking items of the self-checking program comprise network card detection, power supply detection, connectivity detection of network connection and accuracy detection of a routing table; the system can discover and process network communication faults in time and guarantee stable operation of the network.

The invention discloses a CDN fault node isolation method and system based on telecom operator network management data, and relates to the technical field of CDN fault management and operation and maintenance, and the method comprises the steps that an operator network management center collects multi-stage network equipment and link data, and a CDN health center collects indexes such as node packet loss rate; comparing an index and a threshold value quality index degree which exceeds a threshold value, and marking a suspected node; querying network management data to locate a fault category; calculating a score by combining a fault position weight, and isolating if the score exceeds a threshold value and the fault position is a node or a direct connection link; eliminating nodes and scheduling traffic; and quickly triggering the alarm, subscribing the network management alarm, directly marking the suspected node and triggering the process. According to the method, the isolation accuracy of the CDN fault node is improved, and misjudgment caused by an upstream network fault is reduced; the isolation response time delay is shortened; congestion aggravation is inhibited; a quantifiable and configurable isolation decision system is formed, the operation and maintenance intelligence is improved, and the service quality and the user experience are optimized.

The invention discloses a 5G Internet of Things network communication management system, which belongs to the technical field of Internet of Things management, and comprises a signal receiving module for receiving wireless sensing signals of an active terminal and a passive tag, a resource scheduling module for managing the sensing signals of the active terminal and the passive tag based on a 5G-A cellular network, and performing resource scheduling, the dynamic optimization module is used for establishing a dynamic resource collaborative arrangement model, analyzing characteristics of different Internet of Things services according to a resource scheduling result, and realizing cross-level collaborative optimization of calculation, storage and communication resources, and the security isolation module is used for setting an independent virtual channel and a bandwidth queue for each key service application. Bidirectional authentication and data encryption of a terminal and a network are realized, the management control module receives and processes feedback data of each module, outputs a global management instruction and performs energy consumption management control at the same time, signal access stability and coverage uniformity in a hybrid networking scene can be improved, and time delay and security requirements of different services are met.

The invention discloses a satellite communication network construction method based on large language model reasoning, and relates to the technical field of satellite communication and intelligent network control, and the method comprises the steps: carrying out the deep semantic analysis of a high-level task instruction through a large language model engine, converting a fuzzy natural language demand into an accurate executable strategy framework, and carrying out the deep semantic analysis of a high-level task instruction; the fundamental transformation from how to configure network management and control to what is achieved is realized, and the intelligent level and the man-machine interaction efficiency of network management are greatly improved; a space-time diagram model is introduced to carry out prospective prediction on network topology, and a comprehensive link cost value function and a multi-target routing evaluation function are designed, so that a system can accurately predict and avoid network faults caused by cross joints and the like, the problem of communication continuity in special areas such as polar regions and the like is fundamentally solved, and the communication efficiency is improved. Excessive dependence on ground relay facilities is eliminated, and end-to-end transmission delay is effectively reduced.

Techniques for providing a language model with dynamic configuration data for network devices in a network that is then used by the language model to generate network-contextual responses to prompts received at the language model. A network controller may collect configuration data from the network devices where the configuration data includes device configurations of the network devices. The network controller may further receive a prompt from a network operator to which the language model is to respond and identify a relevant device configuration that is contextually relevant to the prompt. Further, the network controller may provide the prompt and the relevant device configuration to the language model, generate, by the language model and using the relevant device configuration, a response to the prompt, and provide the network operator with an indication of the response to the prompt.