1484 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 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 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 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 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 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 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 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 belongs to the technical field of network switching, and discloses a mine scene-oriented wireless network flexible switching method and system, and the method comprises the steps: analyzing signal information through employing a beam forming optimization algorithm, and obtaining an optimal beam forming scheme; determining the position of the current mobile terminal; establishing a final communication connection based on the network switching demand, and terminating the initial communication connection; and dynamically adjusting the beamforming scheme according to a preset algorithm and the priority list. According to the invention, adaptive network switching and user label definition are carried out based on the combination of the beamforming technology, the electronic fence information of the Internet of Things and the positioning data, so that network switching is smoother, and signal interruption and network quality reduction caused by frequent switching are avoided.

The utility model 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.

The invention relates to multi-path routing of a switch fabric. The switching fabric uses traffic congestion information to notify it of timely use of non-minimum routing. An ingress port of a network switch collects traffic congestion information from an egress port of the network switch. The traffic congestion information includes minimum and non-minimum routing congestion metrics for the egress port. A candidate egress port is identified for forwarding the data packet to the destination node. And selecting one of the candidate exit ports according to the traffic congestion information. The selection process is biased to select some candidate egress ports rather than other ports. In particular, a candidate egress port providing non-minimum routing to a destination node and having a high minimum routing congestion metric is not sponsored by a selection process.

The invention discloses an equipment service quality enhancement method and device, equipment and a storage medium, and relates to the technical field of network communication, and the method comprises the steps: receiving a service quality strategy configuration request generated based on a business demand; generating, by the quality of service controller, a quality of service policy based on the quality of service policy configuration request; a target service quality control instruction is generated based on the service quality strategy, the target service quality control instruction is sent to network switching equipment, a programmable data plane is configured in the network switching equipment, and the programmable data plane is compatible with the target service quality control instruction; and processing a data packet received by the network switching equipment based on the target service quality control instruction through the programmable data plane. By applying the technical scheme, the technical problem that the implementation of the service quality of the switch in the prior art mainly depends on a fixed pipeline and a predefined strategy and is relatively poor in flexibility is solved.

The invention relates to a decision-making method and system for dynamic network switching of an eSIM (Embedded Subscriber Identity Module) card. The method comprises the following steps: S1, acquiring multi-modal data in real time, and performing preprocessing scoring; s2, dynamic weight distribution is carried out; s3, network switching is carried out; and S4, federal learning self-optimization is carried out. Through multi-modal data real-time acquisition, dynamic weight distribution and federated learning self-optimization mechanisms, the problems of frequent switching, neglect of user economic requirements and lack of dynamic optimization capability caused by signal fluctuation in the traditional network switching technology are solved; the method has the advantages of dynamically adapting to network environment change, multi-dimensionally optimizing a network selection strategy and improving long-term performance through autonomous evolution, a'perception-decision-execution-evolution 'closed loop is finally formed, user experience and economical cost are dynamically balanced, and limitation of traditional static decision is broken through.

The invention discloses an eSIM automatic network switching strategy management system and method based on multi-source data fusion, and relates to the field of network switching management, and the main scheme is that the method comprises the following steps: analyzing network state data, calculating a basic performance index of a network state, and judging whether a network to be accessed meets a basic performance evaluation standard or not; when the network to be accessed meets the basic performance evaluation standard, obtaining network security data, analyzing the network security data, and judging whether the network security index meets the network security standard or not; when the network security indexes all meet the network security standard, executing a network switching instruction; the problems that in the prior art, only network performance indexes are emphasized, network security is ignored, equipment is switched to a network which is good in seeking performance but has potential safety hazards, such as a forged network which is maliciously built by an attacker or a network with vulnerabilities, so that risks of data leakage, network attack and the like are increased, and the network security is influenced are solved. And serious privacy and security problems are brought to the user.

The invention discloses a bus network configuration reconfiguration device and method, a main control unit, equipment and a medium. The bus network configuration reconfiguration device comprises an upper computer and reconfiguration equipment corresponding to M node equipment and P communication networks, the reconstruction device comprises a main control unit and a bus switching matrix. The bus switching matrix comprises a node switching matrix and a network switching matrix; the node switching matrix is respectively connected with the network switching matrix and the P communication networks; the network switching matrix is also connected with the M node devices; and the main control unit controls the node switching matrix and / or the network switching matrix to realize switching of the node equipment accessed to the communication network and / or the communication network accessed by the node equipment based on the configuration information sent by the upper computer. According to the embodiment of the invention, the method can achieve the automatic reconstruction of the high-speed bus network configuration, achieves the switching of the node equipment and the communication network through the node switching matrix and the network switching matrix, enables each signal path to have no branch wiring, and improves the signal transmission quality.

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.

The invention belongs to the technical field of satellite thermal test, and provides a batch satellite thermal test dynamic allocation automatic test system and an application method in order to reduce the cost of a thermal test system and improve the test efficiency, the automatic test system comprises a load test equipment group, a measurement and control test equipment group, a test interface equipment group and an energy equipment group, a switch matrix board card module is connected with an interface flange plate on a vacuum thermal test tank, and is connected with the switch matrix board card module, an application / data server and a test terminal through a network switch. According to the number of satellites to be tested in the configuration parameters, the number of equipment resources, the mapping matrix of the connection relation of all the components and the test working condition, dynamic resource allocation is achieved, and the automatic testing efficiency of batch satellite thermal tests is improved.

The invention relates to the technical field of computer network technologies, in particular to a network motion capture platform based on synchronization equipment, which comprises an external expansion equipment group and a network switch, and further comprises the synchronization equipment connected with the external expansion equipment group and the network switch, the external expansion device group comprises at least one external expansion device, and each external expansion device is connected with the synchronization device by adopting a corresponding synchronization signal; according to the scheme of the embodiment of the invention, different software synchronization interfaces can be adopted by the four devices, so that the collected information can be synchronized in respective subsystems, and the synchronization efficiency of the four devices is improved. Therefore, the requirement for information data synchronization of the network motion capture camera and other equipment such as audio and video equipment, an active mark point, a dynamometer and a myoelectric instrument is met, and the synchronization precision and the application range of the whole system are improved.

The invention discloses a multi-channel comprehensive processing platform based on a VPX framework, and relates to the technical field of terminal equipment. The system comprises a backboard, and two power supply modules, N signal processing modules, two master control switching modules and a clock interface module which are carried on the backboard, the backboard realizes module signal interconnection and MARK address setting; the power supply module supplies power to each module; the clock interface module provides timing information for each module and completes level conversion between the master control exchange module and an external equipment information data interface; the master control exchange module completes information data processing, receives a remote control instruction of the upper computer, forwards the remote control instruction, summarizes state information of each module and transmits the state information to the upper computer, and the network exchange capability realizes remote debugging and program updating of each module and completes reporting of health information of each module; and the signal processing module carries out signal processing such as coding modulation or demodulation decoding on the information data. According to the invention, the architecture and interconnection interfaces of multiple types of modules are uniformly specified, and the reusability and universality of the platform and hardware are effectively 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.

A network switch, for use in an Ethernet network in a vehicle, includes multiple ports, a switch unit, a peripheral bus, multiple DMA engines and a mapping engine. The ports connect to the Ethernet network. The switch unit forwards packets s among the ports. The peripheral bus connects to a host that runs host applications. The DMA engines transfer packets from the host applications via the peripheral bus to the switch unit. The mapping engine constructs a mapping that maps between (i) bus functions of the peripheral bus that are assigned to the host applications, and (ii) respective ones of the DMA engines, and configures the switch unit, in accordance with the mapping, to permit forwarding of a packet sent from a host application only upon verifying that a DMA engine that transferred the packet is mapped to the bus function assigned to the host application.