2224 results about "Network switch" patented technology

The invention relates to the field of water quality pollution traceability, in particular to a water quality pollution traceability analysis method and system based on an intelligent unmanned ship. The method comprises the following steps: acquiring a multi-mode network monitoring parameter of a real-time position based on a multi-mode communication module, performing a dynamic multi-mode network intelligent switching decision, and constructing an intelligent multi-mode network switching strategy; real-time water area multi-dimensional water quality monitoring parameters of the intelligent unmanned ship are obtained according to the multi-dimensional water quality sensor, abnormal pollution parameter change detection is carried out, and abnormal change pollution parameters are marked; performing reverse water quality spatial change analysis and gradient descent iterative traceability calculation on the abnormal change pollution parameters to generate a potential pollution diffusion path; and performing intelligent traceability cruise according to the potential pollution diffusion path, and tracking and positioning the polluted water source to obtain a polluted water source point. According to the invention, efficient and accurate water quality pollution traceability is realized.

Described herein are devices, systems, methods, and processes for managing the collection and synchronization of telemetry data in a network overseen by a cloud-based network controller. This can be achieved by representing telemetry data as doubly-indexed state blocks within a shared meta-schema. Each type within the schema may be associated with a temporal list of objects of that type, providing ordered indexing by name and by time of last change. Cursors representing data witnesses may be threaded in place within these lists, enabling synchronization of telemetry data between devices without buffering. The system can dynamically adjust telemetry collection cadence in real time across devices in the fabric as users navigate the user interface. This approach can provide an effective mechanism to manage the load created by the telemetry, particularly in the context of network switches and telemetry collection.

The invention provides a 5G network intelligent switching management method based on artificial intelligence, and the method comprises the following steps: collecting and processing network related data, and obtaining a network data set; constructing a switching demand prediction model used for predicting network switching time and a target and a switching effect prediction model used for predicting network performance after switching; optimizing the initial switching strategy in combination with reinforcement learning to obtain an optimal switching strategy; deploying a network switching engine model on the edge computing node, and adjusting an optimal switching strategy in real time according to the network environment change; a virtual simulation digital environment is constructed for network simulation, an optimal switching strategy is evaluated according to the simulated virtual network environment, and then a network switching engine model is optimized in real time according to an evaluation result. According to the invention, the intelligent switching decision is realized, the precision and efficiency of the switching decision can be improved, the network adaptability and diversified requirements are enhanced, and the user experience is improved.

The invention discloses a converged communication system and method for emergency command and dispatch, and the method comprises the following steps: S1, constructing a converged communication network environment, and configuring a self-adaptive network switching module; s2, collecting and analyzing task demand data in an emergency scene, and generating a task demand prediction matrix; s3, generating a task scheduling rule; s4, acquiring current network state data, and generating task scheduling constraint conditions; s5, constructing and training a multi-agent reinforcement learning model; s6, optimizing a communication path decision strategy and a task scheduling rule by adopting a self-adaptive multi-objective optimization algorithm; s7, calculating an optimal communication path, and executing intelligent adaptive network switching; and S8, collecting task execution feedback data, and adjusting training parameters of the multi-agent reinforcement learning model. According to the method, multi-agent reinforcement learning and dynamic entropy regulation and control optimization are combined, emergency communication task scheduling and path optimization are achieved, and the method has the advantages of being high in adaptability, high in communication stability and excellent in task execution efficiency.

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 the technical field of data processing, and discloses a communication transmission management method and system for a heterogeneous network and a storage medium. The method comprises the following steps: processing a signal strength parameter and a data priority level in a data hierarchical configuration table to obtain a network resource allocation scheme; performing real-time monitoring processing on a 4G / 5G cellular network base station, a WiFi hotspot and a satellite communication node to obtain a network switching control instruction; performing transmission quality monitoring processing on the engine parameters, the navigation data, the airborne equipment state data and the environment monitoring data to obtain a transmission quality parameter table; and performing data mining analysis processing on the network switching control instruction and the transmission quality parameter table to obtain a transmission strategy optimization parameter containing network resource optimization configuration. In a heterogeneous network environment, intelligent network switching and resource allocation based on data priorities are realized, so that transmission requirements of data with different priorities are ensured, and meanwhile, the utilization efficiency of network resources is improved.

The invention relates to the technical field of signal switching control, in particular to a multi-network signal switching control system and method based on big data, and the system comprises a user track prediction module, a network coverage analysis module, a signal load evaluation module, a signal switching decision module and a switching execution monitoring module. According to the invention, accurate prediction of a user moving track is provided by integrating user positioning and moving speed data, a potential network switching point is effectively predicted, and a system is allowed to dynamically adjust a network switching strategy by analyzing user behaviors in real time, so that the continuity and the stability of network services are improved, and the user experience is improved. The system can predict the future network demand before the user state is stable by calculating the trajectory trend change rate of the user, the prediction mode combines the current data and the historical trend, the prediction accuracy is improved, the signal switching opportunity and the target network selection are optimized by analyzing the signal coverage and the real-time load of each base station, and the user experience is improved. And data packet loss and time delay are reduced.

The invention relates to the technical field of communication, and discloses a network switching method and device, a terminal and a storage medium, and the method comprises the steps: monitoring the network state of a currently used network; based on the network configuration rule of the current application scene, judging whether each parameter of the current network state is within a preset threshold range of the corresponding network configuration rule; and if not, determining a switched target network according to an evaluation result of a preset weighted evaluation rule corresponding to the current application scene on each network. In the application, a user sets a network configuration rule for each application scene through a network switching terminal, when the network is used, the network state is monitored in real time, the monitored network state is compared with the network configuration rule, if switching is triggered, a target network needing to be switched is determined according to an evaluation result of each network according to a preset weighted evaluation rule, and the switching efficiency is improved. In this way, network switching is more in line with the actual use condition of a user, and therefore the stability and efficiency of network connection are improved.

The invention relates to the technical field of network switching, in particular to a satellite land network switching method and system for a ship, and the method comprises the following steps: carrying out the real-time tracking of the current position of the ship based on a GIS system, calculating the distance between the current position of the ship and an adjacent satellite and land network access point, and comparing the distance data with historical network performance data. According to the invention, real-time GIS tracking and BDS verification are used, the ship position is accurately monitored, and the access point distance and network performance data are dynamically analyzed, so that the prediction of the network access opportunity is more accurate and timely, the response speed of traditional network switching is optimized, the timeliness of switching is improved, and the network access time is shortened. Data transmission interruption caused by network delay or instability is avoided, real-time signal intensity monitoring and congestion information analysis are combined, the optimal network can be intelligently selected in multiple network environments, continuity of data service is ensured, experience is remarkably improved, and manual operation is reduced through the automatic network switching process.

The invention discloses a cross-regional vehicle-mounted network switching method and system based on digital twinning, and a medium. The method comprises the following steps: constructing a cloud side end digital twinning network architecture; acquiring vehicle state data and traffic environment sensing data through the terminal sensing layer; carrying out data aggregation on the vehicle state data and the traffic environment perception data through edge computing nodes to obtain a local digital twinborn model; meteorological data, operator base station data and a local digital twinborn model are integrated through a cloud digital twinborn center to obtain a global digital twinborn model, and the traffic congestion condition and the network congestion condition of each road network region in a future time period are predicted according to the global digital twinborn model. Determining a network switching strategy according to the traffic congestion condition and the network congestion condition; and performing a network switching decision on the target vehicle through the edge computing node. According to the method, the timeliness and accuracy of cross-regional vehicle-mounted network switching are improved, so that the stability and reliability of the vehicle-mounted network are improved, and the method can be applied to the technical field of the Internet of Vehicles.

The invention belongs to the technical field of Internet of Vehicles, and particularly relates to an LTE and WiFi switching method using a deep learning network, which comprises the following steps: acquiring the strength, delay and packet loss rate data of LTE and WiFi signals in real time, judging the geographic position and motion state of equipment in combination with a GPS and an IMU, and selecting an optimal network switching strategy according to the current state by using a deep reinforcement learning algorithm. Switching operation is executed, non-inductive switching is guaranteed, the network state and the switching history are stored, and the DQN model is updated periodically. According to the technical scheme, the vehicle-mounted navigation system and the IMU are combined, the system can recognize a specific scene in advance and pre-judge network switching, through the DQN algorithm, the system has the self-learning capability and can adapt to different environments, double-network concurrent connection is adopted to ensure that a user does not perceive the switching process, the WiFi network is preferentially used to save LTE flow, and instability caused by signal fluctuation is avoided.

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.

A method performed by an optical network controller includes: obtaining a topology structure of a subnet of a cluster, where the topology structure records an address of compute nodes in the subnet; determining a wavelength division configuration based on the topology structure, where the wavelength division configuration is used to allocate different wavelengths to the compute nodes in the subnet; providing the wavelength division configuration for the optical network switching device. Then the optical network switching device establishes an optical path between the optical network switching device and the compute node in the subnet based on the wavelength division configuration.

Antenna systems for controlled coverage in buildings are disclosed where a data communications network in a building includes one or more external antennas. At least one of the external antennas is disposed on a roof or exterior of the building disposed in or associated with a window, a sky sensor or a digital architectural element. The one or more external antennas are coupled to a network infrastructure of the building via one or more data carrying lines and / or wireless links and are configured for communication with an external wireless network. The network infrastructure includes one or more data carrying lines, one or more network switches, and at least one control panel. In some embodiments, at least one of the external antennas is configured for communication with an external wireless network.

The invention relates to the technical field of coal mine fully mechanized mining, in particular to a coal mine communication network system based on a time-sensitive network, and the system comprises a wired communication system, the backbone network of the wired communication system is composed of a plurality of TSN network switches which are in ring network topology connection, and the wired communication system is used for accessing coal mine equipment as a terminal to a TSN network; the wireless communication system is connected with the wired communication system, consists of wireless communication equipment compatible with a TSN protocol, and is used for accessing the coal mine equipment into a TSN network through wireless connection; a communication system based on a time sensitive network (TSN) is established, a real-time, determined and reliable communication network is provided for a coal mine production system, wired and wireless communication systems are adopted, the whole coal mine production control system is covered together, and the requirement of automatic control for data communication is met.

An extended antenna port table includes both legacy Demodulation Reference Symbols, DMRS, and extended DMRS (e.g., Rel-18 DMRS). A UE obtains an indication of the extended antenna port table, either from configured information in memory or from the network, such as via RRC signaling. The indication may be of a subset of the extended antenna port table. The network sends the UE an index into the extended antenna port table, from which the UE determines one or more DMRS ports to use (one per layer). The extended DMRS ports in the extended antenna port table that are the same as corresponding legacy DMRS ports reuse the legacy DMRS port numbers; and extended DMRS ports that are different than legacy DMRS ports use DMRS port numbers not used by legacy DMRS ports. In one embodiment, the network switches the UE between using legacy and extended antenna port tables via a MAC-CE.

The invention discloses a hydraulic fracture monitoring system and method based on an underground micro-seismic sensor network, and belongs to the field of coal mining, and the system comprises a plurality of micro-seismic sensors which are used for collecting micro-seismic signals generated by rock fracture; the plurality of data acquisition substations are used for receiving and processing the micro-seismic signals; the data transmission substation is used for converting the micro-seismic signal processed by the data acquisition substation into an optical signal; the micro-seismic server performs micro-seismic event analysis according to the optical signal; the mining network switch is connected with the data transmission substation and the micro-seismic server and is used for network data exchange; the in-mine ring main unit is connected with the mining network switch and the micro-seismic server to form a communication network of the system; in order to solve the problem that hydraulic fracture detection precision is low due to the fact that micro-seismic signals generated by hydraulic fracture and coal mining activities are difficult to accurately distinguish in a complex underground environment, the hydraulic fracture detection method and device distinguish the micro-seismic signals generated by hydraulic fracture and coal mining activities by dividing a fracture area and a mining area, and the real-time monitoring precision of hydraulic fracture expansion is improved.

The invention discloses a low-output-ripple automatic-current-sharing interleaving buck converter and a control method thereof.The converter comprises a main power circuit and an auxiliary compensation circuit, and the main power circuit adopts two interleaving main branches to achieve voltage conversion and energy transmission; automatic current sharing of the circuit is realized through the integrated network switch module and PWM signal control; the auxiliary compensation circuit adopts a current mirror image compensation principle, and adjusts the magnitude of the compensation current by comparing the difference between the output current of the main power circuit and the reference current, so as to effectively suppress the output current ripple; the control method comprises the steps of output voltage monitoring, PI adjustment, duty ratio modulation and a complementary control mechanism, current ripple phase offset is ensured, and the system stability and efficiency are improved. Compared with the prior art, the method has the advantages that the complexity of a control system is reduced, the working efficiency is improved, the current ripples are effectively eliminated, and the method has relatively high practical value and popularization prospect.

The invention discloses a multichannel extended hard disk automatic test device and method. The multichannel extended hard disk automatic test device comprises a control server, a network switch, a test host and a test device, the control server is connected with at least one test host through a network switch, each test host is connected with a test device through a programmable power strip, and the test devices are connected with multiple paths of hard disk equipment; the control server can generate test parameters and issue the test parameters to the test host with the network wakeup function, and the test host can automatically call corresponding test scripts according to the received test parameters, execute test tasks on the hard disk, record the test process and result and upload the test process and result to the control server; the test device can realize automatic switching of a plurality of hard disks of the same test host interface according to the test parameters; and meanwhile, the power supply of the test host is controlled through the programmable power strip so as to generate abnormal power failure test excitation. According to the invention, a single test host can automatically and orderly test a plurality of hard disks in batches.

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 relates to a vehicle-mounted network switching method and device in an Internet of Vehicles environment and electronic equipment, and the method comprises the steps: determining the receiving power of a target vehicle when the target vehicle is connected with each network base station in the future based on the future trajectory information and a channel knowledge graph of the target vehicle, and the channel knowledge graph comprises the channel information of each position; according to the future trajectory information of the target vehicle, determining the residence time of the target vehicle in the coverage range of each network base station in the future; and determining a target network switching strategy of the target vehicle based on the residence time of the target vehicle in the coverage range of each network base station in the future, the receiving power when each network base station is connected in the future, the network base station switching cost and the real-time load of each network base station. The problem that network switching achieved by an existing vehicle-mounted network switching method is prone to lagging behind communication environment changes is solved.

The invention discloses an optimal signal selection intelligent network switching management method based on a super SIM multi-network, and relates to the field of intelligent network switching management, and the main scheme is as follows: analyzing and calculating operation state data to obtain a network delay score, a downloading rate score and a network stability score in a current network environment, and carrying out comprehensive analysis to obtain an optimal signal selection score; obtaining a current network state score; judging whether to execute a network switching instruction or not by evaluating the current network state score; the coverage degree data, the network state data and the switching cost data are analyzed and calculated to respectively obtain coverage matching degree indexes, network state indexes and switching cost-benefit ratios of different operators; switching priority indexes of different operators are obtained through comprehensive analysis, the switching priority is determined, and the problem that switching decisions and requirements are disjointed due to the fact that switching is triggered only based on signal strength or a single rate threshold and core indexes such as network delay and stability which affect user experience are not fused is solved.

This disclosure describes a network management system configured to determine, for each AP of the plurality of APs and based on received signal strength indicators (RSSIs) of each AP of the plurality of APs, one or more strong neighbors of each AP. compute an AP redundancy score for each AP of the plurality of APs indicative of a redundancy of each AP; compute, based on the AP redundancy scores, at least one of: a switch redundancy score for each network switch associated with one or more of the plurality of APs, wherein the switch redundancy score is indicative of a redundancy of each network switch, or a site redundancy score, wherein the site redundancy score is indicative of an overall redundancy of the network site; and invoke, based on the AP redundancy scores, the switch redundancy score, or the site redundancy score, one or more actions.

The invention discloses a high-speed environment network switching optimization system and method based on meta-policy gradient, and relates to the technical field of wireless communication, and the system comprises a data collection module which is responsible for collecting the network environment and equipment state information of user equipment in real time, carrying out the preprocessing and filtering operation, and outputting the information; the model training module is used for training a switching strategy model on a plurality of simulation tasks by using historical data by adopting a double-layer optimization architecture based on a meta-strategy gradient, so that the model can quickly adapt to new switching requirements in different environments; the online decision-making module is responsible for receiving the output data of the data collection module, calling a model to generate an optimal switching strategy, then executing the strategy and monitoring a switching result; and the self-correction module is responsible for receiving the switching result of the online decision-making module and performing short-term fine adjustment and periodic updating on the model so as to ensure the long-term adaptability of the model in different environments. The method is used for fast network switching in the high-speed mobile environment.

The invention is suitable for the technical field of redundancy coding, and particularly relates to a data redundancy coding method and system based on deterministic network cooperative transmission, and the method comprises the steps: delimiting an industrial production area, and positioning a relay node which at least comprises edge equipment and a network switch, key indexes of the relay nodes are collected, and the relay nodes are divided into main nodes and common nodes; the industrial production tasks are collected, the master control server and the execution end are extracted, the control command sent by the master control server is received, and the industrial production tasks are coded according to a preset coding sequence. By constructing the hash chain, the control command can be decoded, the traceability of the control command is improved, meanwhile, the fault tolerance of the industrial automation system is further enhanced, it is guaranteed that the control command can be accurately and timely transmitted to the execution end, the response efficiency of the execution end is greatly improved, and normal operation of industrial production is guaranteed.

The invention relates to the field of multimedia communication regulation and control, and particularly discloses an intelligent scheduling type emergency command vehicle multimedia communication system which reduces the interference of the surrounding environment of an emergency command vehicle on multimedia communication by surveying the communication environment of an accident site and analyzing the suitable parking position of the emergency command vehicle. Network switching test and fault early warning are carried out on the communication equipment of the emergency command vehicle, so that the normal network communication and service are prevented from being influenced by the fault of the communication equipment; the network load of the wireless communication of the emergency command vehicle is detected in real time, and the bandwidth is dynamically adjusted and allocated according to the load condition of the network, so that the network congestion is avoided, and the stability of the multimedia communication system of the emergency command vehicle during high-load operation is ensured; the communication quality of the wireless communication link of the emergency command vehicle is monitored in real time, and the satellite communication link is switched in time when the communication quality is poor, so that the uninterrupted communication is ensured, and the communication reliability of a multimedia communication system in a complex environment is improved.

The invention discloses a computing system, an information management method, equipment, a medium and a program product in the technical field of computers. The invention provides a complex computing system comprising a host resource pool, a management resource pool, a computing resource pool, a storage resource pool and a network switching device, and a pooling management controller in the system can construct a device allocation table corresponding to each host in the host resource pool. And enabling each host to store the equipment information which is identified by the own basic input / output system and is not recorded in the received equipment distribution table into the first file, and storing the equipment information in the received equipment distribution table into the second file, so that the equipment information displayed on the host side is consistent with the equipment actually controlled by the host.

One or more embodiments of the invention provide a network switching method based on a satellite-ground convergence network and related equipment. The method comprises the following steps: according to user information at the current moment, obtaining predicted received signal strength of a network adjacent to a user and a predicted operation state of the user relative to a corresponding base station; and obtaining an optimal network switching scheme through a deep reinforcement learning model according to the predicted received signal strength and the predicted operation state. According to the technical scheme, the switching offline rate can be effectively reduced, the switching frequency is reduced, the system benefit is effectively improved, and the method is suitable for a high-speed motion scene.

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.

An apparatus comprises at least one processing device configured to receive, by at least one network switch, a communication comprising a virtual logical device tag. The processing device is also configured, responsive to determining that the virtual logical device tag is a host-specific virtual logical device tag associated with a given host-specific virtual logical device of a given host device that is part of a multi-host link aggregation bond, to direct the communication to a given link for the given host device. The processing device is further configured, responsive to determining that the virtual logical device tag is a service-generic virtual logical device tag for a service provided by host devices which are part of the multi-host link aggregation bond) collectively, to select one of the host devices in accordance with a distribution algorithm and to direct the communication to a selected link for the selected host device.