473 results about "Network link" patented technology

The invention discloses a cloud collaborative docking station multi-link aggregation optimization method and system, and relates to the related field of data communication networks, and the method comprises the steps: a docking station collects state parameters of available network links in real time, carries out the application-level task recognition of a data flow, and obtains task features; uploading the link state parameters and the task features to a cloud control platform for link scheduling strategy analysis, and generating a link scheduling strategy; the edge agent completes decomposition processing of the task data according to a strategy to generate a task data packet; and the execution hardware performs aggregation according to link selection, fragmentation and scheduling strategies, records task completion quality, link performance and user experience indexes through the docking station, and returns the task completion quality, the link performance and the user experience indexes to the cloud control platform for iterative optimization. The technical problems of insufficient utilization of link resources, low data transmission efficiency and poor user experience in existing docking station multi-link aggregation optimization are solved, and the technical effects of fully utilizing the link resources and improving the data transmission efficiency and the user experience are achieved.

The invention relates to the technical field of wireless communication, in particular to a production line wireless communication system and method. The system comprises a multi-dimensional feature sensing module, an interference intelligent cognition and decision-making module, a communication opportunity decision-making module and a channel resource arrangement module. An expected action sequence, transient current features and spatial position topology of an interference source are collected through a multi-dimensional feature sensing module, and an interference source multi-dimensional feature set is generated through fusion; the interference intelligent cognition and decision-making module performs space-time spectrum joint modeling of an interference field based on the feature set, generates a workshop electromagnetic environment situation map, constructs a whole network link toughness map in parallel, and generates a conflict-free communication scheduling table through fusion analysis and multi-dimensional cost optimization; the communication opportunity decision module converts the dispatch table into an executable instruction; and the channel resource arrangement module executes the instruction and realizes closed-loop feedback. According to the method, the problem of communication uncertainty caused by industrial electromagnetic interference is solved, and reliable transmission of key services such as automatic guided vehicle scheduling and man-machine interaction is ensured.

The invention belongs to the technical field of network test equipment, and discloses network response test equipment and a test method thereof, and is characterized in that the network response test equipment comprises the following modules: a distributed multi-mode dynamic sensing probe used for capturing service flow characteristics and microsecond-level performance indexes of a network link in real time; the extensible data middle table is in data connection with the probe and is used for establishing a unified spatio-temporal index for cross-level performance data from a physical layer to an application layer; and the causal atlas analysis engine based on artificial intelligence is used for positioning a network fault root cause according to the cross-level performance data. According to the invention, an evaluation standard is automatically calibrated according to historical business load characteristics through an extensible data-in-station dynamic baseline threshold mechanism, so that a test environment completely fits complex scenes such as video burst frame transmission, database synchronization ACK, high-frequency transaction chain and the like, the simulation distortion of a traditional tool to business traffic burst and multi-protocol mixed characteristics is eliminated, and the test efficiency is improved. And the test result is ensured to accurately map the long-term stability requirement.

The embodiment of the invention provides a multi-camera video fusion method and system for a robot with a body and a storage medium, and belongs to the field of image processing. The method comprises the following steps: performing time and space alignment on images based on a vision and inertia alignment model to generate a unified aligned image sequence; extracting multi-scale image features based on the uniformly aligned image sequence, and constructing a cross-view residual image for guiding attention fusion operation to generate a fusion image; performing privacy area identification on the fused image, and performing shielding processing on a privacy area to obtain a privacy protection image; and performing semantic compression on the privacy protection image, adjusting an image frame scheduling sequence according to network link state information, and outputting a video signal for controlling a decision. The method is oriented to whole-process optimization of space-time alignment, cross-view fusion and privacy protection processing in the multi-shot image acquisition process of the robot with the body, and video signals for control are output in a self-adaptive mode based on the link state.

The invention relates to the field of multimedia communication and network control, in particular to an intelligent network control method for low-delay video return and related equipment. The intelligent network control method comprises the following steps: acquiring network key indexes including bandwidth, delay, jitter and packet loss rate of a network link in real time, and providing real-time network environment data support for transmission strategy adjustment. According to the method, an intelligent control mechanism combining network state perception and video content feature recognition is constructed, so that the technical problem of low-delay video return in a complex network environment is effectively solved. Specifically, key indexes of a network link are collected in real time, and a lightweight CNN model is introduced to analyze the video content activeness, so that dual perception capabilities for a network environment and content features are formed, data support is provided for dynamic adjustment of coding parameters, and accurate balance between video quality and network adaptability is realized.

The invention relates to the technical field of audio and video emergency transmission, and discloses an audio and video low-delay return method and system in an extreme environment. The method comprises the following steps: acquiring original multi-modal data of audio and video acquisition equipment in a target area, and analyzing a data state of the original multi-modal data; and meanwhile, available network transmission links are monitored, and the quality is evaluated. Self-adaptive coding parameters are generated in combination with the link quality and the data state, dynamic coding is executed on original data, and a coding stream suitable for redundant transmission is formed. And carrying out cooperative distribution transmission based on the network link set and the coded stream to generate return data. According to the generation process, a device and energy management instruction is formed and issued to the acquisition and relay device. According to the method, the network state and the content characteristics are optimized in a dynamic coding link in a collaborative manner, and the audio and video quality, the real-time performance and the system energy efficiency which are transmitted back in an extreme environment are improved through a feedback closed loop for transmitting a result to equipment management.

The present application relates to the technical field of communications, and discloses a path planning method and apparatus, a device, a system, and a storage medium. The method comprises: acquiring traffic prediction information respectively corresponding to at least one time period; and on the basis of the traffic prediction information respectively corresponding to the at least one time period and at least one selectable path respectively corresponding to each service, determining a target forwarding path of each service meeting path planning objectives. The path planning objectives comprise: the service traffic borne by any link in a hierarchical network in any time period is less than or equal to the bandwidth capacity upper limit of any link, load balancing is realized between multiple links connected to a same network node in the hierarchical network, and the transmission quality of the target forwarding path of any service meets a quality requirement of any service. Path planning of a global service is realized, network link congestion can be reduced, and better effects that load balancing between all network links is realized and a service forwarding path meets a service quality requirement are achieved.

The invention discloses a data backup management system for communication, which belongs to the technical field of data management, and comprises an intelligent hierarchical backup module, a block chain security module, an AI resource scheduling module, a hybrid cloud backup module and an automatic fault processing module, the intelligent hierarchical backup module is used for dividing communication data into hot data, warm data and cold data according to the importance, use frequency and modification frequency of the data, and the block chain security module is used for generating a unique hash value for each backup data and recording the unique hash value on a block chain. The AI resource scheduling module is used for analyzing and learning historical backup data and operation records by using a deep learning algorithm, and the hybrid cloud backup module is used for combining a local data center and public cloud storage. And the automatic fault processing module is used for deploying the automatic fault detection module to monitor the running states of the backup server, the storage device and the network link in real time.

The invention discloses a heterogeneous network converged communication control method and system for a vehicle-mounted terminal, and relates to the related technical field of communication control, and the method comprises the steps: determining a plurality of original signal fragments transmitted to a receiving end by a plurality of heterogeneous networks based on the vehicle-mounted terminal; a vehicle-mounted terminal is provided with an intermediate fusion node, and the intermediate fusion node is provided with an interference detection module and a differential processing module; carrying out adaptive signal differential coding processing according to a synchronous receiving constraint condition of a receiving end and the plurality of link interference detection signals, and outputting a plurality of differential signal fragments; and respectively sending to a receiving end for signal restoration. The technical problem that in the prior art, when a vehicle-mounted heterogeneous network sends the same or fragmented signals at the same time, due to dynamic variation of network link interference and transmission delay difference of all paths, signals at a receiving end are out of step and quality is deteriorated is solved. The technical effects that the receiving end efficiently and synchronously restores the signal, and the anti-interference performance of signal transmission and the reliability of heterogeneous network converged communication are improved are achieved.

The embodiment of the invention discloses a data transmission control method and device, equipment and a medium, which can be applied to scenes such as intelligent traffic, auxiliary driving, cloud technology and artificial intelligence. The method comprises the following steps: in a process of transmitting service data through a first type of network link, obtaining a network quality index of the first type of network link; if the network quality of the first type of network link is detected to be lower than a preset quality threshold value based on the network quality index of the first type of network link, selecting a target transmission strategy from candidate transmission strategies based on the network quality index of the second type of network link, the candidate transmission strategies including independent transmission of the second type of network link; the second type of network link and the first type of network link transmit together; and switching the service data from the first type of network link to a target network link corresponding to the target transmission strategy for transmission. According to the technical scheme, the reliability of controlling data transmission is high, and the data transmission efficiency is improved.

The invention discloses a full-link analysis display method and device based on routing configuration, a medium and equipment. The method comprises the following steps: collecting and extracting equipment routing data; confirming the type of equipment routing data, and executing data cleaning processing according to the type of the equipment routing data; path acquisition is carried out based on the routing configuration information of the target assets, and three groups of network incoming link diagrams are respectively obtained; and sequentially splicing the Internet network inbound link diagram, the internal network inbound link diagram and the cluster network inbound link diagram to generate a hierarchical whole network link topological diagram, and performing front-end link display on the whole network link topological diagram. Visualization of various assets and internet access links in a virtualized network is realized, and in an actual application scene, problems can be quickly found based on the topological graph of the whole network links according to association of the collected equipment routing data and the security events, the influence range is positioned, and the security response efficiency is improved.

The present disclosure provides a search engine optimization (SEO) system comprising a remote server. The remote server comprises a memory with a set of executable routines and a search engine database with multiple fields of applications, each associated with multiple URLs indexed with a user engagement matrix, written data, and a search engine ranking. A processor acquires a web link from a computing device, extracts textual content, analyzes relevancy, and retrieves relevant URLs. The processor evaluates a thematic score, a readability score, and an emotional tone data using NLP techniques, analyzes written data of each URL to determine a topic weight, a legibility weight, and a sentiment tone data, develops a machine learning model, applies the model to recommend content alterations, and renders the alterations at the computing device.

The invention discloses a double-high power distribution network harmonic collaborative governance method based on cloud edge collaboration and dynamic partitioning, and belongs to the field of power harmonic governance, and the method comprises the steps: constructing a time-varying harmonic collaborative governance architecture based on cloud edge collaboration, which comprises a cloud server, an edge server and governance equipment; constructing a derivative network link matrix; an observation node is selected by adopting an improved PageRank algorithm based on a derivative network link matrix; according to the harmonic state of the observation node and the state information of the governance equipment, a two-stage dynamic partitioning method is adopted to realize dynamic partitioning of a governance area of the governance equipment; a multi-time scale cloud edge collaborative optimization governance strategy is adopted to optimize governance parameters based on a dynamic partitioning result; and based on the treatment parameters of the long time scale, an improved NSGA-II multi-objective optimization algorithm is adopted to further dynamically correct the treatment parameters on the short time scale, and based on the treatment parameters optimized by the cloud server in the multi-time scale, the edge server controls the treatment equipment to realize time-varying harmonic collaborative treatment according to the treatment parameters. According to the invention, decentralized, whole-network and time-varying wave efficient, real-time and collaborative treatment of the double-high power distribution network can be realized.

The invention discloses a multi-protocol adaptive Internet of Things device communication management method and system, and relates to the technical field of Internet of Things device communication management, and the method comprises the steps: capturing an original message sent by a source device through a communication management node disposed at an edge side when an Internet of Things device initiates a communication request, obtaining a source device identifier, a target address and a transport layer protocol type of the original message; identifying a used application layer protocol according to the structural features and the communication context of the original message, extracting an operation intention contained in the original message, and generating a standardized semantic feature vector; on the basis of the difference degree between the standardized semantic feature vector and semantic feature vectors of other protocols, initial compatibility scores among the protocols are determined, and a communication topological graph is constructed in combination with real-time delay and node resource states of network links; and continuously recording communication execution results of different protocol pairs on each node, and generating a dynamic memory factor according to the change trend of the execution results.

The invention relates to an intelligent ship network optimization method, system and device based on multi-link convergence and a medium. The method comprises the following steps: firstly, acquiring multi-network link connection parameters of the intelligent ship, constructing an adaptive environment, modifying a protocol stack, and integrating a physical link into a virtual link to realize resource convergence; and based on the real-time parameters of the virtual link and the physical link, dynamically distributing traffic by adopting an improved aggregation protocol, and generating a load balancing scheme. And then, regularly sending a detection packet quality index, and predicting a link quality trend in combination with historical data and navigation longitude and latitude. And finally, dynamically adjusting flow distribution according to a prediction result, an application real-time demand, a bandwidth demand and a current position tariff characteristic, and generating a ship-shore communication scheme considering both efficiency and cost. By adopting the method, the stability, reliability and economy of ship-shore communication of the intelligent ship can be effectively enhanced, and the method is suitable for multi-scene network monitoring optimization.

The invention discloses an ultra-low delay live broadcast method, system and device based on edge calculation, and a medium, and relates to the technical field of real-time audio and video interaction. The method comprises the steps that a target edge computing node receives an original media stream; monitoring an uplink network link and a downlink network link of the anchor end and the target edge computing node in real time, and determining a network link quality parameter; acquiring a historical network link quality parameter, and setting a link degradation standard and a link excellent standard according to the historical network link quality parameter; determining a target compensation strategy according to the network link quality parameter, a first preset condition and a second preset condition; and the target edge computing node processes the original media stream by adopting the target compensation strategy to generate a compensated media stream, and forwards the compensated media stream to a receiving end. By adopting the scheme, the overall performance of ultra-low delay live broadcast can be improved.

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.

Examples of the present disclosure provide a method and a device for forwarding a data flow, an SDN controller and a storage medium. The method is applied to the SDN controller, and includes: acquiring task information of an AI training task, wherein the task information comprises a communication model of the AI training task, an address of a source task node and an address of a destination task node, and the communication model is to indicate an AI training data transferring relationship between the source task node and the destination task node; selecting a forwarding path between the source task node and the destination task node based on topology information of a network and the communication model, wherein the topology information includes a topology structure, a link state and a utilization rate of link bandwidth; configuring a forwarding flow table to each forwarding node on the forwarding path, causing the each forwarding node to forward a data flow of the AI training task from the source task node to the destination task node along the forwarding path based on the forwarding flow table. This solution can realize a traffic balance on whole network links, improve the network throughput and improve performance of AI cluster service.

The invention provides an ad hoc network and 5G network intelligent fusion handheld terminal and a switching strategy method. The handheld terminal comprises an ad hoc network module, a 5G module, a network detection module, a service extraction module, a power management module and a switching decision module. The ad hoc network module provides an ad hoc network communication link; the 5G module provides a 5G communication link; the network detection module periodically monitors the channel quality of the 5G link and the ad hoc network link; the service demand extraction module is used for determining whether to perform channel switching immediately or not according to the influence degree of the channel switching on the application for different service types; the power management module monitors the residual electric quantity of the equipment in real time; and the switching decision module automatically selects to switch an ad hoc network or a 5G channel according to factors such as link quality, battery power and service types. According to the invention, seamless, efficient and intelligent switching between the ad hoc network and the 5G network is realized through the ad hoc network + 5G fusion design and the switching strategy, and the communication effect and the user experience of the handheld terminal are improved.

The invention discloses a GPU cluster and a communication method, the GPU cluster comprises at least two servers, two paths of accessories are configured in each server, each path of accessory comprises a plurality of GPUs, and in the accessories, the plurality of GPUs communicate through a first communication link; in each server, the GPUs on the two paths of accessories are in one-to-one correspondence, each group of corresponding GPUs communicate through the second communication link, GPU model selection does not need to be limited, and low-cost general GPUs can be used; two independent annular communication links are formed between the at least two servers; and in any link, data flows into the server through the high-speed network link, alternately flows through the second communication link and the first communication link so as to transmit the data to each GPU, and flows out to the next server through the high-speed network link until communication of all servers on the link is completed, so that improvement of the GPU cluster communication bandwidth is realized.

The invention discloses a network data quality evaluation method and system and a related device, relates to the field of Internet, and is applied to a network data quality evaluation system, and the method comprises the steps: obtaining at least one data packet of a session in a network link through a bypass technology; respectively storing the at least one data packet into a plurality of first queues according to streams, analyzing the at least one data packet, and scheduling the at least one data packet to a second queue according to the streams after the at least one data packet is analyzed; obtaining the data packet from the second queue, and updating the record content of the flow table according to the analysis information of the data packet; when the data transmission in the session is finished, the recorded content of the flow table is analyzed, and the integrity of the session is determined; and determining the quality of the session for transmitting the data packet by using the network link according to the integrity of the session. According to the application, the data packet is obtained through the bypass technology mirror image, the data packet is stored according to the stream, the integrity of the session is determined by analyzing the recorded content in the stream table, and the evaluation of the network data quality is realized.

The invention discloses a multi-network integration intelligent route selection method and system based on multi-dimensional dynamic evaluation, and the method comprises the following steps: S1, network communication hardware of equipment collects the signal intensity and signal quality parameters of GEO, LEO, Beidou short messages and 4G / 5G network links in real time, and transmits the parameters to an intelligent route selection decision engine module; by introducing the multi-dimensional dynamic weight evaluation model and the intelligent route selection decision engine, parameters such as signal strength and signal quality of multiple network links such as GEO, LEO, Beidou short messages and 4G / 5G can be monitored in real time, the optimal network link is automatically selected as an internet access channel in combination with data size and tariff standards, and the network access efficiency is improved. Therefore, optimal configuration of network resources is realized, the quality and efficiency of network connection are improved, and the use cost of a user is reduced.

The invention provides an intelligent calculation task migration-oriented SRv6 multi-path dynamic arrangement method and system, and the method comprises the steps: carrying out the feature structuring of the obtained intelligent calculation task feature data and network link state data, and generating a multi-dimensional structured data table which comprises the task emergency degree, the network link state data, and the task emergency degree. A target node coordinate and a time delay sensitivity coefficient; performing multi-dimensional path decision on the multi-dimensional structured data table through a multi-objective joint optimization algorithm to generate an optimized path distribution scheme; according to the optimized path distribution scheme, migration channel dynamic control is executed, and a task migration execution log is output; and generating a network configuration optimization instruction based on an index deviation between the task migration execution log and a preset task demand table. By adopting the method, the network path can be hierarchically divided and the proper migration channel can be dynamically selected based on the emergency degree of the task and the position of the target node, so that the migration efficiency and reliability of the intelligent calculation task are improved.

The invention discloses a minimum-time-delay routing path generation method applied to a multi-channel unmanned aerial vehicle cluster, and belongs to the field of unmanned aerial vehicle communication network routing path optimization generation. Wherein in the link attribute calculation process, external channel input information is received to calculate network link rate information; according to the route path generation process, information such as a link connection relation and media time in an unmanned aerial vehicle cluster network is generated based on OLSR basic ad hoc network protocol broadcast, a route path with the minimum media time is selected, information transmission delay is reduced, the network throughput is improved, and the network congestion degree is reduced. According to the method, the routing path with the minimum media time can be actively selected in a high-dynamic and multi-channel unmanned aerial vehicle cluster communication environment, the information transmission reliability of the network is improved, the network delay is reduced, the throughput of the whole network is improved, and rapid control and reliable guarantee of the unmanned aerial vehicle cluster network are guaranteed.

The invention provides a distributed multi-cloud-node remote sensing data synchronous transmission method, system and device, and the method comprises the steps: receiving a data synchronization request of a user, the data synchronization request taking a data set defined by business logic as a synchronization unit, and the logic of the data set being defined by at least one piece of business dimension information; in response to the data synchronization request, extracting all data entities corresponding to the data set logic from the distributed data source according to the service dimension information; decomposing a synchronization task for all the data entities into sub-tasks corresponding to different data types; and on the basis of the transmission strategy, after to-be-transmitted data in the subtasks is preprocessed, transmission is performed through the dynamically selected network link, so that the destination cloud node executes post-processing operation corresponding to preprocessing on the received data, and a data set is restored.

The invention relates to a safety early warning communication method and system among multiple ships. The method comprises the following steps: acquiring real-time dynamic data of a running ship in a current running state; performing quality score determination on the real-time dynamic data; when the quality score is lower than a first threshold value, performing feature reconstruction compensation on the real-time dynamic data corresponding to the quality score; conflict perception attention weighted fusion is carried out on the high-quality modal data, and a risk confidence coefficient and a conflict flag bit corresponding to a ship driving risk event are generated; based on the risk event and the high-quality modal data, generating driving early warning information; and switching a networking router network link required by data transmission based on the risk confidence and the conflict flag bit, and sending driving early warning information to the driving ship by the own ship. The low-quality mode is converted into the high-quality mode, the fusion strategy is carried out through the high-quality mode, the safety early warning information is obtained, and the technical effect of reducing the influence of the low-quality mode on the subsequent decision accuracy is achieved.

The invention provides a network intrusion detection method and system based on artificial intelligence, and relates to the technical field of network intrusion detection, and the method comprises the steps: obtaining multi-dimensional behavior data of a terminal domain, a network link domain and an application layer domain, and employing a high-density or hierarchical collection strategy according to a network type; preprocessing the data through a standardization priority or coding priority scheme according to feature types; constructing a CNN-LSTM fusion model adaptive to network dynamics, and extracting space and time sequence correlation features; based on the sample condition, adopting full or incremental training to obtain a convergence model; a result is output through a high-precision or high-speed detection strategy in combination with scene requirements; and continuously iteratively optimizing the model based on the environmental change. The system correspondingly comprises a multi-domain data acquisition module, a data preprocessing module and the like. The method breaks through the limitation of single-domain detection, accurately recognizes cross-domain cooperative attacks, adapts to different network scenes, reduces the false alarm and missing alarm rate, improves the detection real-time performance and stability, and is suitable for various network environments such as enterprise intranets and hybrid clouds.

The invention discloses an emergency broadcast decision-making method for dynamically reconstructing a broadcast list, which is characterized by comprising the following steps of: 1, monitoring running state parameters of a broadcast link in real time, the running state parameters comprising a signal quality parameter, a network link parameter, a server resource parameter and an audio stream content parameter; 2, when it is monitored that the operation state parameters are abnormal, fault diagnosis is carried out based on a preset knowledge base, and the knowledge base stores the mapping relation between fault features and disposal plans; step 3, generating a broadcast list reconstruction strategy according to the diagnosis result and a multi-dimensional characteristic factor of the current broadcast program, wherein the multi-dimensional characteristic factor at least comprises a program type, an importance level and a switching smoothness requirement; and step 4, executing automatic switching of the emergency audio streams according to the playlist reconstruction strategy. According to the invention, the problems of untimely emergency response, inaccurate decision, discontinuous fault handling and the like in a complex broadcast environment can be solved, the broadcast content can be quickly and dynamically reconstructed, and the broadcast continuity and the service quality are ensured.

The invention discloses a big data-based switch fault elimination method and system, and relates to the technical field of network operation and maintenance, and the method comprises the steps: distributing each network link state node through employing a self-adaptive controller, and collecting network state data; constructing a streaming processing engine, and setting a dynamic baseline alarm device to preliminarily classify the network state data; querying switch information corresponding to the network state data by adopting a controller code, and carrying out abnormal index analysis to obtain a fault data label; aI pipeline detection is deployed, and intelligent root cause analysis is performed on the fault data label, so that gradual optimization from alarm to root cause positioning is realized, and the average repair time is greatly shortened.

In various examples, one or more network links for transmitting data in a network may be selected based at least in part on a quality associated with the one or more network links. Link quality information associated with a plurality of links may be accessed and analyzed to determine which links to use for transmitting data. Link quality may be evaluated in combination with other link attributes to proactively select network links to minimize network disruption in the event of network equipment failure.