45 results about "Network automation" patented technology

Embodiments here in disclose a method and system for network configuration generation using a network digital twin (NDT) comprising a spatio-temporal graph neural network (STGNN) for performance-based simulation in a communication network system is disclosed. A simulation request is received from a management service (MnS) consumer, including network parameters related to live network nodes. Performance data is retrieved from a management server, and performance is assessed against a performance threshold. Multi-domain telecom data is processed using a spatio-temporal graph neural network (STGNN) by a feature fusion attention mechanism, trained via a hybrid feedback loop with real and synthetic data. Upon meeting performance thresholds, a configuration recommendation is generated by a configuration recommendation engine, including an explanation and confidence value. The configuration recommendation is transmitted to the MnS consumer, enabling network automation without altering the live network directly.

The invention discloses a dynamic optimization system and method for a heterogeneous network communication protocol, and particularly relates to the technical field of communication network automation, and the system comprises a unified time base and multi-source state modeling module, a quick change detection and shadow section risk assessment module, a risk gating and hierarchical low-disturbance execution module and a closed-loop feedback and evolution management module. According to the method, a standard recording unit is constructed through unified time base and observation delay compensation, and multi-source communication state alignment is realized; a shadow section joint risk index is calculated based on online filtering and geographical priori, hierarchical low-disturbance strategy arrangement is implemented under the constraint of risk gating and comprehensive cost, and closed-loop feedback and anti-fact evaluation are utilized to drive parameter evolution governance. According to the method, the problems that short-time fading is smoothly masked in a high-speed or strong-shielding environment and unified risk assessment and low-disturbance execution are lacked are solved, the tail time delay, the disorder rate and the packet loss rate are reduced, the communication reliability is improved, and interpretable tradeoff between energy consumption and tariff is achieved.

Systems and methods are described for automated anomaly detection in computer networks using a dynamic network graph. Network data describing communications among computing entities are received, and a dynamic graph is constructed and maintained whose nodes represent the entities and whose edges represent observed communications. Behavior characteristics are computed for the nodes, and the nodes are clustered using a clustering algorithm to obtain cluster assignments. Anomalies are detected by identifying nodes whose behavior characteristics deviate from those of their assigned clusters, and alerts or security actions are generated in response. The system supports incremental updates to graph structure and cluster assignments as network conditions evolve, improving detection latency and accuracy.

There is provided an apparatus arranged to: receive, from a configuration controller, a request for feedback on a network configuration in a communications network; request feedback on the network configuration from a plurality of network critic functions; aggregate feedback received from at least part of the plurality of network critic functions in response to the request; and provide the aggregated feedback to the configuration controller.

The application discloses a kind of based on GNSS's dam vertical displacement monitoring reference network automation observation method.It includes the following steps, step one: point site reconnaissance, instrument and observation pier selection;Step two: GNSS data preprocessing and scheme optimization;In GNSS vertical displacement automation monitoring, determine the optimal observation period, repair frequent small cycle jump;Step three: baseline solution and network adjustment method;In GNSS vertical displacement automation monitoring, troposphere delay correction, thermal expansion effect correction these models are applied to baseline solution, introduce prior height difference information in network adjustment, improve the accuracy and reliability of baseline solution.The application has the advantages of improving the vertical direction of GNSS baseline solution precision.The application also discloses a kind of based on GNSS's dam vertical displacement monitoring reference network automation observation platform.

In one embodiment, a device obtains data regarding routing decisions made by a machine learning-based predictive routing engine for a network. The device determines, based on the data regarding the routing decisions, a behavior of the machine learning-based predictive routing engine. The device compares the behavior of the machine learning-based predictive routing engine to a behavioral policy for the machine learning-based predictive routing engine. The device adjusts operation of the machine learning-based predictive routing engine, when the behavior of the machine learning-based predictive routing engine violates the behavioral policy.

The application relates to the field of data processing, and discloses a network automatic management system based on dynamic network security, which comprises a behavior characteristic fingerprint acquisition module, a security threat identification identification module, a security policy instruction generation module, a protection verification result acquisition module and a deployment target node module. The original communication characteristic set is matched with a preset behavior characteristic library in real time to obtain a behavior characteristic fingerprint. The behavior characteristic fingerprint is subjected to abnormal communication identification to obtain a security threat identification. The strategy constraint of the security threat identification is extracted, and a security policy instruction of the communication network is generated based on the strategy constraint. The communication network is synchronously adjusted, and the feedback data of the synchronously adjusted communication network is compared with an expected security threshold to obtain a protection verification result. When the protection verification result is passed, the protection verification result is deployed to a target node of the communication network. The application can improve the efficiency of network automatic management.

Systems and methods are described for automated anomaly detection in computer networks using a dynamic network graph. Network data describing communications among computing entities are received, and a dynamic graph is constructed and maintained whose nodes represent the entities and whose edges represent observed communications. Behavior characteristics are computed for the nodes, and the nodes are clustered using a clustering algorithm to obtain cluster assignments. Anomalies are detected by identifying nodes whose behavior characteristics deviate from those of their assigned clusters, and alerts or security actions are generated in response. The system supports incremental updates to graph structure and cluster assignments as network conditions evolve, improving detection latency and accuracy.

Described herein is a computer-implemented method for constructing a customized ear device in a virtual environment in the form of a design through a network automation process utilizing trained nerves. The described computer-implemented method is configured to allow for altering output from a neural network to create a change to an automatically generated custom ear device design. Further, a system is described herein that utilizes a processor running the methods described herein to automatically generate a virtual-constructed custom ear device that may be modified to adjust for any incorrect output generated by a neural network.

The invention relates to the field of data processing, and discloses an automatic network management system based on dynamic network security, which comprises a behavior characteristic fingerprint acquisition module, a security threat identifier identification module, a security policy instruction generation module, a protection verification result acquisition module and a target node deployment module, matching the original communication feature set with a preset behavior feature library in real time to obtain a behavior feature fingerprint; performing abnormal communication identification on the behavior characteristic fingerprint to obtain a security threat identifier; extracting a policy constraint of a security threat identifier, and generating a security policy instruction of the communication network based on the policy constraint; synchronously adjusting the communication network, and comparing feedback data of the synchronously adjusted communication network with an expected security threshold to obtain a protection verification result; when the protection verification result is successful, deploying the protection verification result to a target node of the communication network; according to the invention, the efficiency of network automation management can be improved.

The invention discloses an automatic deployment method for a long safety chain network based on Kubernetes Operator, and the core scheme of the method is to define double-layer custom resources (CRD): ChainMakerNetwork is used for declaring chain-level global configuration, ChainMakerNode is used for declaring node-level configuration, through the cooperative work of a node controller and a network controller, the network controller is used for declaring the global configuration of the chain-level, and the network controller is used for declaring the global configuration of the chain-level and the node-level configuration of the chain-level. A node controller generates an identity for each node and reports the identity to a resource state field in advance, and a network controller aggregates information to generate a global chain configuration file after monitoring that all dependencies are ready, so that the mechanism of the scheme breaks the circular dependency that node starting depends on network configuration, and network configuration generation depends on node identity; according to the invention, one-key and declarative deployment and full-life-cycle management of the long safety chain network in the Kubernetes environment are realized, and the deployment efficiency, reliability and operation and maintenance automation level are greatly improved.

The invention provides a distribution network automatic monitoring method and device, electronic equipment and a storage medium. The method comprises the following steps: determining each automatic switch equipment on a fault line and an initial switch state of the automatic switch equipment before a fault occurs based on a real-time operation mode of a fault event; taking an automatic switch device of any power failure simulation operation in the power failure simulation operation sequence associated with the fault event as a target switch device, and based on the operation instruction type and the initial switch state, determining a final expected switch state after executing the target power failure simulation operation; determining an abnormal action judgment result based on the final expected switch state of each automatic switch device in the power failure simulation operation and the actual action information of the automatic switch device in the fault event time window; and updating a power supply path connection relation based on the final expected switch state to obtain a post-operation power supply influence range and an action abnormity judgment result, and generating a fault handling logic process. According to the invention, the traceability and logic self-consistency of the fault handling process are improved.

Automation system, apparatus and method for coupling a device network and a communication network, wherein the system verifies addressing of components in an automation system having a hyper-convergent infrastructure, where a gateway extends data telegrams to include a device-specific signature if such a signature cannot be implemented by the automation device of the automation system itself.

The invention discloses an automatic network testing method for a novel reliable transmission protocol of a multi-modal network, which relates to the technical field of network testing and comprises the following steps of: S1, building a testing environment: building an automatic testing platform, configuring hardware, software and a network environment required by testing by using the platform, and setting up the testing environment; the platform is logically divided into an adaptation layer, a function layer, an interface layer and an application layer. S2, designing a test case; s3, executing a test process; and S4, analyzing a test result. According to the automatic network testing method for the novel reliable transmission protocol of the multi-modal network, a set of complete testing system is established and matched with an established automatic testing platform, so that full-process automation from testing environment establishment, testing case design, testing process execution to testing result analysis can be executed; the test consistency and repeatability are ensured, manual intervention is reduced, manual operation errors are effectively reduced, and meanwhile the test efficiency is remarkably improved.

This application discloses a device time correction method, apparatus, device, storage medium, and program product, relating to the field of embedded technology. The method, applied to embedded devices, includes: starting a time correction service via a local configuration file when the device boots up, and setting it as a prerequisite service for business services to ensure that business services start subsequently; calling the time correction service to perform corresponding time correction operations: if the hardware detection information of the real-time clock module indicates a hardware fault or absence, then performing anomaly detection on the current system time; if the current system time is abnormal, correcting the system time using a target time generated and pre-configured based on device batch information. This time correction scheme does not rely on an external network, is automated and timing-controllable, and based on a local time source, enables embedded devices to achieve time self-correction in offline deployment environments, ensuring time consistency and the reliability of business functions even without a network.

The invention discloses an automatic training system and method for a neural network, and relates to the field of network model training, and the system comprises a parameter configuration module which is used for loading a configuration file, displaying the configuration file in a tree structure in a visual interaction interface, interactively editing the configuration file, and storing the edited configuration file; the data preparation module is used for extracting actual data based on the stored configuration file, interactively obtaining a data set and further integrating model training preparation data; the model training module is used for searching an optimal architecture and hyper-parameter combination of a neural network model by using a genetic algorithm; and the reasoning prediction module is used for loading the optimal architecture and hyper-parameter combination of the neural network model, inputting the received user data into the neural network model and further returning a prediction result. According to the invention, the training efficiency of the neural network model is effectively improved.

The application discloses a full-parameter feedback type intelligent heat room layered cooperative control system and method, relates to the technical field of centralized heating pipe network automation control, and comprises a multi-dimensional heterogeneous parameter sensing module, a layered cooperative calculation module, a dynamic decoupling execution module and a soft measurement self-recovery monitoring module. The sensing module collects hydraulic transient and thermal lag data in all directions; the cooperative calculation module constructs a dimensionless 'thermal-hydraulic coupling urgency index' based on heterogeneous data, realizes decoupling calculation of time scale and physical dimension and generates a cooperative regulation instruction; and the execution module executes anti-oscillation clamping regulation of the regulation valve according to the instruction and in combination with a dynamic penalty function. The application breaks the dimensional interference and regulation deadlock in traditional full-parameter control, completely eliminates feedback storm under the layered architecture, and innovatively converts building thermal inertia into a virtual energy storage pool of the pipe network, so that high decoupling of thermal and hydraulic forces and peak load cutting and valley filling without additional hardware are realized.

The invention relates to the technical field of cloud, the scheme can be applied to the fields of finance and medical treatment, and the invention provides an automatic deployment method, device, equipment and medium of a test cloud, and the method comprises the steps: after creating a preset number of KVM cloud hosts, executing network automatic configuration on each KVM cloud host to obtain a configured KVM cloud host; performing NAS intelligent mounting operation on each configured KVM cloud host to obtain a mounted KVM cloud host; performing environmental health examination on all the mounted KVM cloud hosts to obtain an environmental health examination result; if the environmental health examination result is passed, obtaining temporary snapshots of different test stages; and after the test task is completed, closing and deleting all the mounted KVM cloud hosts, and synchronously triggering an NAS storage cleaning task so as to position and delete corresponding NAS data based on the test task identifier. According to the invention, high-frequency and multi-version agile test requirements can be met, and the labor cost is reduced.

The invention relates to the technical field of network communication, and discloses a software-defined multi-path network flow real-time dynamic optimization method, which comprises the following steps of: acquiring an initial application experience intention of a user on a service flow; collecting context information of the service flow, and performing multi-mode user experience quality perception on the service flow to obtain a current user experience quality evaluation result; under specific conditions, performing dynamic intention negotiation with a user or an agent application to obtain a negotiated user intention; generating or adjusting a multi-path network strategy according to the negotiated user intention, the current user experience quality evaluation result, the context information and the state information of each available path of the current network; controlling the transmission of the service flow on a plurality of paths according to a multi-path network strategy; according to the invention, the dynamic change experience requirement of the user can be more accurately met, and the user satisfaction and the network automation level are improved.

The invention belongs to the technical field of rail transit on-board networks, and provides an on-board network automatic single-vehicle debugging system and method based on a TRDP protocol. The debugging system comprises a debugging server, at least one interactive tool, a mobile terminal and a bicycle network cabinet. The debugging server is used for receiving and responding to a networking request of the mobile terminal, converting a pre-stored automatic debugging task script into a debugging instruction and sending the debugging instruction to the response bicycle network cabinet through the mobile terminal; the single vehicle network cabinet is used for converting the debugging instruction into a TRDP hexadecimal frame and sending the TRDP hexadecimal frame to the corresponding interactive tool through a TRDP protocol; the interactive tool is used for executing debugging operation on the to-be-debugged vehicle according to the received debugging instruction and returning a TRDP result frame to the single vehicle network cabinet; and the bicycle network cabinet is used for analyzing the TRDP result frame and pushing the TRDP result frame to the mobile terminal for display in real time. Universal debugging of vehicle debugging scripts of different vehicle types and different batches can be realized.

The invention provides an automatic communication method and system for a multi-service bearing type distribution network based on an EPON (Ethernet Passive Optical Network), and relates to the technical field of data processing, and the method comprises the following steps: grouping control service data and monitoring service data, counting the size and time interval of data packets in each group, calculating the bandwidth occupancy rate of each group in an EPON frame structure, and sending the bandwidth occupancy rate to the EPON frame structure; the method comprises the following steps: obtaining a frame occupation interference index, sorting grouped feature data sets, carrying out packet length cutting and packet segment rearrangement on the grouped feature data sets, detecting the position distribution of each packet segment in an EPON frame time slot, obtaining a cross-service coverage coefficient, adjusting the time slot distribution of a control segment data set, and inserting a delay compensation field at the adjusted position. And respectively mapping to a first data queue and a second data queue of an uplink channel of the EPON, and generating a multi-queue transport stream. According to the invention, the multi-service data flow can be efficiently managed and dispatched, and the safe data transmission of the distribution network automation communication system is ensured.

According to the automatic control device for the long-distance oil and gas conveying pipe network, the side face of a control shell is fixedly connected with a connecting disc, the side face of the connecting disc is fixedly connected with a conveying pipe, a control mechanism is arranged in a conveying control shell, and the top of a motor is fixedly connected to the inner wall of the control shell. Through mutual distribution among components such as a motor, a gear and a control panel of the control mechanism, when gas conveying is needed, a worker starts the motor, the control panel is moved through meshing of the gear and a rack, so that a sealing strip leaves the inlaying groove, then a gas conveying opening is opened, and the worker can conveniently convey gas according to the use requirement. By means of the design, the effect of controlling the flow of gas conveying is achieved, it is effectively ensured that the flow in the pipeline is stable, and the risk caused by too large or too small flow is avoided.

The invention provides a service spectrum configuration method, device and equipment. The method comprises: based on a service request input by a user for a natural language of a target service, determining a structured service demand of the target service, the structured service demand comprising at least one of a bandwidth, a time delay and a protection level; and generating a spectrum configuration scheme of the target service based on the structured service demand and the network real-time state of the optical network where the target service is located. According to the method provided by the embodiment of the invention, the automation of service spectrum configuration is realized, the dependence on manual planning is eliminated, manual operation errors are reduced, and the efficiency and accuracy of network automatic configuration are effectively improved.

The invention relates to the technical field of automatic operation and maintenance, and provides an electric power communication network automatic operation and maintenance device which comprises a case, an air blowing device is installed on one side of the case, a ventilation device is installed on the other side of the case, a positioning device is installed on the top in the case, and an optimization device and a dust removal device are installed on the positioning device. A temperature sensor and a humidity sensor are mounted in the case; according to the computer case, cooling and dehumidification in the computer case are achieved at the same time through the air blowing device, and compared with a heat dissipation material, the computer case is more flexible, more remarkable in effect and wider in application range; the device is optimized to carry out powerful cooling aiming at faults, equipment in the device is prevented from being further damaged or other equipment is prevented from being damaged, and the cooling effect is improved; dust removal and cooling are combined together, the occupancy rate of the space in the device is reduced, so that the device adapts to the complexity of equipment in the device, accurate cooling and dust removal can be carried out, manpower is reduced, and efficiency is improved.

The application discloses a kind of networking automation test method, device, equipment and medium, the method includes: obtaining configuration file and test case;Based on node information and network scene type, the communication pair list required for testing is automatically generated;According to the node information in communication pair list, establish and manage the connection with all nodes;Automatically execute performance test command on corresponding client node and server node in turn to generate network traffic and obtain original test output;From original test output, automatically extract performance indicators, analyze performance indicators and generate structured test report.The application integrates configuration input, communication pair generation, remote connection management, automatic performance test execution, data acquisition and report generation into a closed-loop automation process, users only need to provide configuration file and test case, can complete all test work from environment preparation to result output in one key, improve test deployment efficiency and reusability.

The invention provides an automatic operation and maintenance method and device of network equipment, electronic equipment and a storage medium, and relates to the technical field of network operation and maintenance. The method is applied to a server of a network automation operation and maintenance system, and comprises the following steps: in response to an operation and maintenance task request of target network equipment, determining an operation and maintenance task indicated by the operation and maintenance task request, and obtaining an access parameter and a login credential of the target network equipment; and then based on the access parameter, establishing a communication connection with the target network device by using the target network protocol, and based on the login credential, automatically logging in the target network device. And further converting the operation and maintenance task into a corresponding operation and maintenance instruction, and sending the operation and maintenance instruction to the target network equipment. And obtaining an operation and maintenance result generated after the operation and maintenance instruction of the target network equipment is operated, and visually displaying the operation and maintenance result. According to the method, the operation and maintenance efficiency of the network equipment can be improved.

The application discloses a network semantic directed addressing method, and belongs to the technical field of communication. The method first obtains a link topology based on satellite network physical topology information, and then performs link addressing on orbits, virtual orbits, satellites in orbits, satellite nodes and links in the link topology, and then performs network layer IP address addressing based on the link addressing, so that a mutual mapping relationship between IP addresses of satellite nodes, links and interfaces and corresponding position topology information of the satellite nodes, the links and the interfaces in a satellite network is established. The application can quickly generate various IP addresses from the physical topology information, and can reversely map position topology information of satellite nodes, links and interfaces belonging to IP addresses in the satellite network, so that accurate positioning of the satellites is realized. The method has the capability of automatically adapting to network physical topology, provides a technical foundation for network automatic configuration, and controls effective information of IPv6 addresses to 32 bits from 128 bits, so that address storage resources are saved.

The application discloses a Chang'an chain network automatic deployment method based on a Kubernetes Operator, and a core scheme of the method is to define double-layer custom resources (CRD): ChainMakerNetwork is used for declaring chain-level global configuration, and ChainMakerNode is used for declaring node-level configuration; through collaborative work of a node controller and a network controller, the node controller first generates an identity for each node and reports the identity to a resource state field; after the network controller monitors that all dependent items are ready, the network controller aggregates information to generate a global chain configuration file; the scheme mechanism breaks a circular dependency of 'node startup dependent network configuration, and network configuration generation dependent on node identity', realizes one-key and declarative deployment and full life cycle management of the Chang'an chain network in a Kubernetes environment, and greatly improves deployment efficiency, reliability and operation and maintenance automation level.

The present application relates to the technical field of electric power, and discloses a kind of resident short-term electric power load automation prediction method, comprising the following steps: S1: model establishment: establish resident short-term electric power load automation prediction model;S2: regional division: the geographical position of each resident home in a large area is divided in space using K-means algorithm, and is divided into several characteristic related regions;S3: data collection: collect the total power consumption and temperature data of S2 region in the past two years;S4: data division: the data collected and counted in S3 is processed and divided by sliding window method;S5: model training: the data divided in S4 is input into the model established in S1 for data training;S6: result prediction: the future day or week dimension electric power load size of local is automatically predicted by the trained network;The present application can reduce the workload of personnel, and can make reasonable electricity price for the power department, to provide a guidance scheme for ensuring the normal work of power plant.

This disclosure describes systems, methods, and devices related to remotely testing communication network equipment. A system may include a communications network including network equipment configured to facilitate communications in the communications network; fiber connections physically connecting test equipment to a network element of the network equipment; and automated testing software remote from the network element and from the test equipment, able to: turn up the test equipment via one or more interfaces; turn up the network element via the one or more interfaces; and send, via the one or more interfaces, wireless command signals to the test equipment to perform testing of the network element via the fiber connections.