1030 results about "Network switch" patented technology

The invention relates to the technical field of network security, in particular to a dynamic access blocking method based on zero trust. Comprising the following steps: step 1, collecting whole network flow data in real time in a bypass monitoring mode through a flow mirroring function of a network switch, performing deep packet inspection analysis on the collected original flow data, and extracting network flow characteristic parameters; 2, maintaining a dynamic identity information base; 3, performing real-time behavior analysis on each network session; 4, according to the risk assessment result and the real-time security context, generating a dynamic access control strategy based on a minimum permission principle; 5, implementing access control at the network execution point; and 6, continuously monitoring the network flow and the strategy execution effect, collecting feedback data, optimizing the risk assessment model and the strategy generation algorithm based on the feedback data, and forming closed-loop control. By dynamically updating the identity and asset information, the system can identify new assets or changes in real time, so that the adaptability and response capability of a network environment are improved.

The invention relates to a three-in-one network Internet of Things card automatic switching method. The switching method comprises the following steps: collecting state parameters of a plurality of operator networks; constructing a signal space topology model of the target area, predicting each operator network according to the signal space topology model, and calculating a comprehensive quality score of each operator network according to a preset multi-dimensional weighted evaluation model so as to establish standby communication links of other to-be-switched networks; calculating a corresponding switching income index according to the comprehensive quality score and a historical switching record of the currently used network, and generating a corresponding network switching instruction; and calculating a communication performance change result before and after switching of the network switching instruction so as to perform adaptive adjustment on weight parameters in the multi-dimensional weighted evaluation model. The method can predict and complete switching in advance before signal attenuation or network congestion, avoids communication interruption, dynamically optimizes a decision according to the use history and switching cost, and achieves a network switching control effect with both performance stability and economical efficiency.

The invention discloses a smart power grid fault-tolerant communication system and method based on multi-operator channel switching, and the method comprises the steps: collecting heterogeneous network and equipment state data through an intelligent sensing layer, achieving the network quality prediction and multi-target optimization through an AI decision engine, integrating spectrum resources and network slices through a resource cooperative control layer, and achieving the fault-tolerant communication of a smart power grid. The edge execution layer executes hardware-level fast switching, the emergency disaster recovery layer provides multi-dimensional fault recovery, and the security trusted layer guarantees data security. The method breaks through the bottleneck of traditional network switching, realizes high-reliability and low-delay transmission of power business, is suitable for scenes of intelligent substations, distribution network automation and the like, and remarkably improves the fault-tolerant capability and resource utilization efficiency of intelligent power grid communication.

The invention provides a multi-operator card AIOT management method and system based on the Internet of Things, and the method comprises the following steps: carrying out API butt joint, calling a mobile CMNet API, a Unicom WorAPI and a Telecom CTWing API, and obtaining the state, flow and signal intensity data of an Internet of Things card; a heterogeneous protocol is converted into a unified JSON format through a protocol conversion gateway; network delay and base station loads are monitored in real time, and network scores of all operators are calculated based on the base station loads, the network delay, the signal strength, the tariff cost and the historical stability; and judging whether a switching trigger condition is met or not, and when the switching trigger condition is met, determining to switch the network based on the network scores of the operators, and executing a network switching process. According to the method, the network condition is monitored in real time, and the score of each operator network is calculated based on multiple factors, so that the available network can be quickly switched to when a single operator network has a fault or a poor signal, and the stability of the Internet of Things system is improved.

The invention provides a satellite-ground heterogeneous network dynamic switching method and system and electronic equipment, and relates to the technical field of wireless communication, and the method comprises the steps: carrying out the collection of core state parameters from a network side, a user side and a service side, and obtaining the state parameters, related to network switching, of the network side, the user side and the service side; performing dynamic association processing on the state parameters respectively corresponding to the network side, the user side and the service side to generate a unified state vector; performing dynamic decision optimization according to the unified state vector through a reinforcement learning model to obtain a satellite-ground switching decision weight; according to the satellite-to-ground switching decision weight, generating a satellite-to-ground network comprehensive score difference, and according to the satellite-to-ground network comprehensive score difference, determining a network switching target and a decision confidence coefficient of the network switching target; and determining an execution parameter of the network switching target according to the decision confidence through a Bayesian execution engine, and performing network switching according to the execution parameter. According to the invention, the switching effect of the satellite-ground heterogeneous network is improved.

This invention relates to a system and method for calibrating energy meters, designed to enhance the accuracy of electrical power measurements. The system incorporates a computing device with specialized calibration software, interfaced with multiple energy meters via a network switch. Each energy meter is equipped with a CPU and DSP, facilitating precise phase angle measurements. A configurable three-phase reference source, connected via power cables, supplies standard calibration signals to the meters. The DSP measures phase angles based on calibration commands triggered by control signals received by the CPU. These measurements are then transmitted to the computing device, which calculates necessary offset corrections. The corrections are subsequently communicated back to the CPU for adjustment of the energy meters' analog-to-digital converter settings, thereby ensuring the meters' outputs are accurately aligned with calibrated standards. This system provides a robust framework for reliable, high-precision energy meter calibration.

The invention relates to the technical field of health management and intelligent operation and maintenance of large power generation equipment, in particular to a multistage resource dynamic scheduling method based on a heterogeneous edge framework, and the framework comprises a network switching unit, a signal processing unit, a storage unit and a plurality of core computing board units. Each core computing board unit comprises a plurality of heterogeneous computing modules; the method comprises the following steps: distributing tasks to corresponding core computing board units; decomposing and classifying the task to form a plurality of sub-tasks, and adaptively matching the plurality of sub-tasks with the characteristics of the heterogeneous computing module; distributing each subtask to a heterogeneous computing module which is matched with the subtask and is lower in load or higher in energy efficiency ratio; a calculation flow is constructed based on a sub-task dependency relationship, the sub-tasks are graded according to real-time performance, dynamic balanced distribution is achieved through an intelligent scheduling algorithm, and it is ensured that the load of each heterogeneous calculation module tends to be balanced. Through the scheduling and optimizing method, the efficiency of task scheduling and resource allocation can be effectively improved.

The invention discloses a concentrator network switching decision-making system and method based on communication quality evaluation. Safe and intelligent switching is achieved through cooperation of multiple modules. Constructing a physical, network and application layer multi-dimensional index system, and generating a communication quality score by adopting a dynamic weight and a random forest; the safety protection module ensures signal legality through radio frequency fingerprint and digital signature two-factor authentication; the switching decision is based on a double-threshold mechanism, trend prediction and a pre-switching mechanism, so that the interruption time is shortened; and the privacy protection adopts dynamic differential privacy and federated learning to realize data desensitization and model security aggregation.

A reconfigurable, for example with time, network switch matrix coupling switch charge circuits representing multiply and add circuits (MACs) and neurons (MACs with activations) capable of accepting and outputting proportional to charge pulses through crossbars within said network, said crossbars controlled by local controllers and higher level controllers to setup said crossbar communications.

The invention provides an optical module cold plate type liquid cooling assembly and network switching equipment, and relates to the technical field of network equipment heat dissipation. The optical module cold plate type liquid cooling assembly comprises a cold plate main body which extends along a first direction and comprises a first side and a second side which are opposite to each other; the floating heat conduction blocks are connected to the first side of the cold plate body and can float in the second direction perpendicular to the first direction; the floating heat conduction blocks are arranged at intervals in the first direction and are used for making contact with the optical modules sequentially arranged in the first direction. The heat conduction pad is arranged between the cold plate main body and the floating heat conduction block and is in contact with the cold plate main body and the floating heat conduction block; and the at least one liquid cooling pipe is arranged on the second side of the cold plate main body. The optical module cold plate type liquid cooling assembly is in close contact with the optical module inserted into the connector of the network switching equipment, heat generated during operation of the optical module can be smoothly and timely led out, the heat dissipation efficiency is high, and the heat dissipation effect is good.

A spine interconnect device for a datacenter with liquid-cooled electronic components. The spine interconnect device includes a first bus bar and a second bus bar. The first and second bus bars each include one or more high power conductors. The spine interconnect device further includes a spine support configured to suspend the first bus bar and the second bus bar above the electronic components and a plurality of tap-off boxes each with a plurality of power ports. Each tap-off box is connected to and supported by the first bus bar or the second bus bar. The spine interconnect device further includes a plurality of power cables interconnecting the plurality of power ports to the electronic components, a low power tray with networking cables, and a networking switch. The spine interconnect device further includes a cold water conduit and a warm water return conduit and a manifold.

The invention discloses a network switching method and device, and belongs to the technical field of communication. The method comprises the following steps: acquiring a network state parameter corresponding to a first embedded subscriber identity module (eSIM) card in a terminal; under the condition that the network state parameter meets a preset abnormal condition, controlling the terminal to be switched to a second eSIM card; wherein the preset abnormal condition comprises any one of the following conditions: a ping-pong switching abnormal condition, a long-time off-network abnormal condition or an IMS registration failure abnormal condition; the operator corresponding to the first eSIM card is different from the operator corresponding to the second eSIM card.

The invention belongs to the technical field of image reconstruction and classification, and particularly relates to a radar image adaptive reconstruction and classification method based on intelligent hierarchical learning, and the method comprises the steps: obtaining an original radar image and radar platform parameters, and obtaining a standardized preprocessing image; outputting a high-fidelity reconstructed image through hierarchical processing; carrying out Sobel gradient calculation to obtain a gradient image and carrying out region division, carrying out differential dynamic window local enhancement, and then carrying out global gray balance and secondary filtering to obtain an enhanced and optimized image; carrying out local / global feature extraction, carrying out weighted fusion by utilizing semantic association, and outputting a multi-layer fusion feature map; outputting a high-confidence identification result by utilizing candidate region acquisition and difficulty evaluation, dynamic network switching identification and confidence closed-loop verification; and integrating the original radar image, the high-fidelity reconstructed image and the high-confidence identification result, and outputting a structured report. According to the method, the optimal balance of radar image speckle noise suppression and detail reservation can be realized.

The invention discloses a multi-machine multi-card distributed training optimization system and method oriented to a credential heterogeneous environment, and relates to the technical field of distributed training. In order to solve the defects existing in distributed training in a credential and credential heterogeneous environment, the system comprises an application layer for receiving a training task; the core system layer comprises a self-adaptive task scheduling module, a hybrid communication topological optimization module and a dynamic check point and elastic recovery control module, and the scheduling module generates a performance portrait and an optimal scheme based on a training task and adjusts the scheme according to a node fault; the optimization module executes the scheme, firstly detects node topology, constructs a hierarchical path, loads and initializes an optimal communication rear end for target equipment, and synchronizes the path to the target equipment; the control module periodically stores a complete training context and realizes reliable recovery of a training process; the credential hardware abstraction layer is used for providing a uniform interface for realizing underlying resource access and data acquisition; and the hardware resource layer comprises heterogeneous computing nodes and an RoCE network switch.

The embodiment of the invention provides a network switching method and device, electronic equipment and a readable storage medium, the method is applied to a data transmission unit, and the method comprises the following steps: acquiring multi-source data corresponding to a current network of the data transmission unit; determining network state evolution in a future time window of the current network according to the multi-source data; when the network state evolution is lower than a preset network state evolution threshold value, if a switchable network exists in the data transmission unit, determining a target network from the switchable network; and switching from the current network to the target network, so that the data transmission unit performs data transmission through the target network. According to the embodiment of the invention, data transmission can be prevented from being continued through the current network with a relatively poor network state in the future, so that the problems of data transmission jitter, switching interruption and the like are avoided, and the high-reliability transmission requirement of data can be met.

The invention relates to a network resource redistribution method, and belongs to the technical field of network switching. The method comprises the following steps: initializing system parameters; when entering a path maintenance period, setting a current path serial number, and entering a path of the current serial number; traversing all current paths generated based on the bisecting moth optimization method, and performing path maintenance on the current paths; the state of each node in the current path is checked, and if a failure node exists, a network resource scheduling method based on a bipartite moth optimization method is adopted to carry out failure node resource redistribution; checking the state of each link of the current path, if a failed link or a congested link exists, regarding the failed link or the congested link as the failed link, and performing failed link resource redistribution by adopting a network resource scheduling method based on a bipartite moth optimization method; and entering the circulation again until the system finishes working. The problem that local correction cannot be performed when the resource scheduling strategy fails is solved.

The invention relates to the technical field of computers, and particularly provides a flow table rule merging method and device, and the method comprises the steps: obtaining a flow table rule set; each flow table rule in the flow table rule set is analyzed, an analysis result of each flow table rule is obtained, the analysis result comprises a matching field information set composed of multiple pieces of original matching field information in the flow table rules, and the original matching field information comprises type identification character strings and field values of matching fields; processing the matched field information set of the plurality of flow table rules based on a flow table merging rule to obtain an updated flow table rule set; the flow table rule merging difficulty can be reduced, the flow table rule storage load of the network switching equipment is reduced, and the data forwarding efficiency is improved.

The invention discloses an AI Agent-assisted enterprise data analysis method and system, and relates to the technical field of data analysis, and the method comprises the steps: connecting an enterprise network switch, deploying an RS-485 management network, and deploying at least two AI Agent computing nodes at the edge side of the enterprise network switch; carrying out storage redundancy analysis to obtain a redundancy label matrix; establishing a distribution relationship; issuing a redundancy processing task according to the distribution relationship, and performing data processing to obtain a plurality of return data sets; and performing overlay storage on a metadatabase of the enterprise storage management center according to the plurality of return data sets. The technical problems that in the prior art, storage redundancy of an enterprise meta-database is difficult to recognize accurately, storage optimization after data processing is insufficient, and consequently enterprise data storage efficiency is low are solved, efficient redundancy processing and optimized storage of the meta-database of the enterprise storage management center are achieved, and the enterprise data storage efficiency is improved. And the technical effect of enterprise data storage efficiency is improved.

In many embodiments of the invention, a space-based data center includes orbital server modules configured to be deployed in space, each module including a communication subsystem for module-to-module communications to form a data center, tiles arranged in a planar array, where each tile has a layered structure including solar cells forming a layer across a first surface, thermal radiator panels forming a layer across a second surface, electronic components distributed laterally in a layer between the layer of solar cells and the layer of thermal radiator panels, where each electronic component receives power locally from solar cells and rejects heat to the thermal radiator panel beneath it, where a first subset of tiles are compute tiles in which the electronic components include one or more computing processors and memory, and where a second subset of tiles are support tiles in which the electronics components include network switches and energy storage.

Network switches are devices that connect multiple devices together on a computer network, using packet switching to receive, process, and forward data to the destination device. Each switch typically contains multiple ports, which are the points of connection for network cables. These ports can be in an active state, where they are ready to transmit data, or in an idle state, where they consume less power. Power consumption in datacenters has been a topic of concern due to the increasing demand for data processing and storage. One approach to reducing power consumption involves managing the power state of the switch ports. However, current power saving policies focus on making decisions for one type of traffic pattern or for a single port at a time, and therefore cannot intelligently or dynamically adapt to a multitude of network parameters affecting traffic flows. The present disclosure uses artificial intelligence to more intelligently transition ports between different modes of operation.

The invention discloses a multi-access network intelligent selection system and method in a 5G network environment, and the system comprises a multi-network state sensing module, a service feature recognition module, an intelligent access decision module, a network switching control module, and a strategy updating and learning module. According to the present service type and service quality demand dynamic optimization, communication performance and user experience are considered, an access decision-making mechanism with an adaptive learning capability is constructed, experience can be accumulated along with time, a strategy can be continuously optimized, the frequency and cost of network switching are controlled, the communication continuity is ensured, unnecessary switching risks are reduced, and the network switching efficiency is improved. The method is suitable for various actual scenes such as a 5G mobile terminal, a vehicle-mounted communication device and an industrial terminal, the communication performance and the overall use experience of the terminal device in the 5G environment under the multi-network access condition are effectively improved, and a basic support is provided for achieving heterogeneous network convergence and intelligent communication.

The invention relates to a robot control technology, and discloses a robot cluster control method and system and a storage medium, and the method comprises the steps: receiving motion state data, network link state data and service type information of each robot; predicting a motion track of each robot in a future preset time period based on the motion state data in combination with a digital map, and predicting a communication quality change trend of a current network link of each robot in the future preset time period based on the network link state data; determining a target network link of each robot based on the motion trail, the communication quality change trend, the digital map, the service type information and the received node operation state information of each edge relay node, and generating a network switching instruction containing the target network link and the switching opportunity, and the corresponding robot executes network link switching according to the network switching instruction. According to the invention, global prediction and active switching of robot cluster communication can be realized.

The invention relates to the technical field of computers, in particular to a vehicle network switching method and device, electronic equipment and a storage medium. According to the vehicle network switching method, a route network prediction table is determined firstly, so that prediction conditions of a satellite beam and a ground network correspondingly covered by a preset position point of a vehicle on a driving route are known; the network signal strength in the current ground network state and the current driving state are judged in sequence, and when the network signal strength and the current driving state in the current ground network state are both met, the route network prediction table and the navigation route information of the vehicle are input into the network switching model to obtain a target network switching strategy, so that the network switching strategy can be continuously adjusted in real time, and the network switching efficiency is improved. The network coverage change is pre-judged in advance, the switching delay is reduced, and intelligent and accurate network switching is realized.

The embodiment of the invention provides a ship heterogeneous network vertical switching method and system, electronic equipment and a storage medium, and belongs to the technical field of ship communication. According to the method, a target network is determined according to communication quality parameters of candidate networks, then a dynamic key is determined according to a pre-negotiated shared key and a current timestamp, identity authentication is carried out with the target network according to a terminal identity key and the dynamic key to obtain an identity token, and the identity token is sent to the candidate networks. Wherein the terminal identity key is obtained by processing the terminal identity identification code by adopting a preset mapping rule and a preset key, establishing a target session channel with the target network according to the identity token, and switching the data stream to the target session channel. According to the method and the device, a two-factor authentication mechanism of the terminal identity key and the dynamic key is adopted during network switching, the security of network switching is improved, the key does not need to be changed frequently when the dynamic key is adopted, and the network switching efficiency is improved.

The invention relates to the technical field of industrial automation and control, and discloses a whole-plant auxiliary network monitoring access processing method and system for IP conflict sub-control equipment, and the method comprises the steps: accessing a data interface machine and a network switch into each independently operating electric precipitation upper computer of different sub-control systems; the monitoring data are read from the corresponding electric precipitation upper computer through the data interface machine; label name conversion is carried out on the monitoring data in the data interface machine, and the name duplication phenomenon of the monitoring data is eliminated; performing network isolation on conflicting IP addresses of the sub-control systems through a network switch to form an independent communication link; and uploading the monitoring data subjected to label conversion and network isolation to a database of the auxiliary network monitoring system to realize data integration of the sub-control system and the auxiliary network monitoring system. According to the method, adverse factors such as normal operation of the electric precipitation equipment in the implementation stage are overcome, and the purpose of accessing the electric precipitation monitoring data to the power plant auxiliary network monitoring system is safely achieved.

A cloud computing resource system may receive an allocation request to connect the virtual machine to a customer network, wherein the virtual machine is executing while the allocation request is received and the allocation request includes network configuration information of the customer network. A cloud computing resource system may detect a discovery request from the virtual machine triggered by receipt of the allocation request, wherein the virtual machine remains executing during detection of the discovery request. A cloud computing resource system may update, responsive to detecting the discovery request from the virtual machine, a virtual network interface controller of the virtual machine with the network configuration information of the customer network, wherein the virtual machine remains executing during updating of the network configuration information.

The invention provides a static soft reduction control model based on a PLC and Wincc. The static soft reduction control model comprises a first-stage PLC control system. The primary PLC control system comprises a plurality of PLCs, and each PLC is connected with an encoder, a displacement sensor, a pressure sensor and an electromagnetic valve which are arranged on site; and the network switch is respectively connected with the plurality of PLCs, the second-level system, the third-level system and the industrial personal computer with a human-computer interface. The invention aims to develop a brand-new static soft reduction model by utilizing a primary PLC (Programmable Logic Controller) and Wincc technology, so as to overcome a plurality of problems of the existing dynamic soft reduction technology in practical application, and provide an innovative solution for improving the casting blank quality, improving the production efficiency and reducing the production cost.

The invention discloses a coal mine fire monitoring and fire extinguishing control system, and relates to the technical field of coal mine fire monitoring. The mining flame sensor, the temperature and humidity sensor, the smoke sensor, the dust concentration sensor, the thermal imaging camera, the electric ball valve, the junction box, the network switch and the intrinsic safety power supply device are installed in a plurality of underground areas, and the mining flame sensor, the temperature and humidity sensor, the smoke sensor, the dust concentration sensor, the thermal imaging camera, the electric ball valve, the junction box, the network switch and the intrinsic safety power supply device are installed in the underground areas. A dynamic dust floating simulation model can be constructed, and geological disturbance data is introduced to predict and correct a dust gathering area, so that intelligent ventilation regulation and control of a high-risk area are realized, the practicability is high, an electric ball valve can be driven in time according to a monitoring result when a fire occurs to carry out precise spray fire extinguishing, and the fire extinguishing efficiency is improved. And the emergency response efficiency and the control precision are improved.

A System-on-Chip (SoC) for performing a network switching operation and an operation of directly driving an actuator is disclosed. The SoC includes an MCU (Micro Control Unit) subsystem configured to calculate command data and a processing result value for driving using an in-vehicle command signal and sensor data, a network device configured to route an input signal and transmit the routed input signal to a destination node and a memory subsystem having a memory for code execution, data and program loading, and storage for the MCU subsystem and the network device and the network device having a driving signal processing unit configured to directly drive an actuator connected to the SoC.

The embodiment of the invention discloses a network switching method and device, a storage medium and a computer program product, and the method comprises the steps: obtaining a plurality of groups of network parameters corresponding to a plurality of networks of an unmanned aerial vehicle, the plurality of networks being networks connected through a plurality of wireless communication terminals disposed on the unmanned aerial vehicle; inputting the plurality of groups of network parameters into a network evaluation model to obtain a plurality of network priorities corresponding to the plurality of networks; determining a target network from the plurality of networks according to the plurality of network priorities; and switching the network of the unmanned aerial vehicle to the target network under the condition that the target network satisfies the network switching condition.