666 results about "Network link" patented technology

The invention relates to the technical field of network routing, and discloses a dynamic load balancing method and system for network routing, and the method comprises the steps: carrying out the periodic sampling and feature extraction of a processing load of a network node and a transmission load of a network link, and obtaining a load state vector and a network load degree; constructing a load balancing decision matrix, and performing comparison operation on the load balancing decision matrix and the multi-stage load threshold to obtain a load optimization instruction sequence; identifying a high-load source node set and a low-load target node set based on the load optimization instruction sequence, and performing load prediction modeling to obtain a task migration scheme; performing path optimization of reinforcement learning based on the task migration scheme to obtain a multi-routing path set; and carrying out load partition clustering and routing strategy distribution on the multi-routing path set to obtain a regional routing mapping table, and the method reduces the network delay, improves the resource utilization rate and realizes dynamic load balance.

The invention relates to a computing power network resource scheduling method. The method comprises the following steps: acquiring floating point operation performance parameters and operation states of node processors and energy index data of data centers where the node processors are located, and calculating to generate a node list; constructing a global resource pool based on the list, and generating a resource distribution table containing the total calculation power of the region; obtaining calculation requirements and time delay constraints of the task queue, extracting feature vectors in combination with the resource distribution table, and generating a resource utilization rate table; obtaining network link flow data, predicting a link congestion probability through a long short-term memory network, and generating a flow control strategy table; and finally, updating resource pool network constraints according to the resource utilization rate table and the flow control strategy table, and remapping tasks by taking node effective computing power as a weight to generate a scheduling execution scheme. According to the method, accurate quantitative evaluation of the computing power resources is realized, the matching precision of tasks and the computing power resources is effectively improved, the resource utilization rate of the computing power network can be remarkably improved, and the overall scheduling efficiency and stability of the system are enhanced.

The invention provides a data all-flash storage optimization method and system based on cloud computing, and the method comprises the steps: receiving a storage operation request stream of a user terminal through collecting a multi-dimensional performance data set of each node of an all-flash storage cluster in real time, wherein the multi-dimensional performance data set comprises a storage space fragmentation rate, an input / output request queue depth and a network link bandwidth utilization rate; analyzing a to-be-stored data block identifier set and an operation mode label, traversing a historical access record library based on to-be-stored data block identifiers, extracting historical access time sequence characteristics and physical storage position proximity of associated data blocks, and combining the multi-dimensional performance data and the historical access time sequence characteristics to obtain a data block identifier set; according to the method, a dynamic access popularity prediction model in a preset time period is constructed, and finally, a cross-node fragmentation storage topological graph and a cache preloading strategy matrix are generated according to the proximity of the dynamic access popularity prediction model and a physical storage position, so that the optimization of all-flash storage is realized, and the data storage performance in a cloud computing environment is improved.

The invention discloses an opportunity network link prediction method based on a time sequence diagram neural network, and particularly relates to the technical field of the time sequence diagram neural network, and the method comprises the following steps: S1, data collection and network snapshot generation; s2, weighting feature coding clusters; s3, GAT and LSTM combined processing embedding is carried out; s4, the probability is calculated through a multi-layer perceptron; s5, constructing a loss function according to the link; s6, drawing sets and training parameters; and S7, multi-index evaluation of the optimal model. The method accurately captures the spatial-temporal characteristics of nodes, collaboratively operates embedding, coding and decoding layers, improves the accuracy and stability of link prediction, stabilizes the reliability of network communication and the success rate of data transmission, innovates a loss function and an optimization strategy, solves the problems of data sparseness and over-fitting, enhances the generalization ability, adapts the model to a multi-field network, and improves the data transmission efficiency. And links are accurately predicted in scenes such as intelligent traffic and disaster rescue, resource configuration and communication efficiency are optimized, and innovative development of multi-industry network application is powerfully promoted.

The invention provides a file high-speed transmission method based on multi-link aggregation, and solves the problems of low transmission efficiency and insufficient stability of a traditional single link. The method comprises the following steps: detecting network link performance parameters, and screening available links; according to the number of links, the average bandwidth and # imgabs0 # limitation, dynamically segmenting a large file into adaptive data blocks, numbering the data blocks, and adding information such as a position to a head; an improved dynamic load balancing algorithm is adopted, link quality (including bandwidth utilization rate, delay, packet loss rate, stability and dynamic adjustment of weight along with a network environment) and data block priority (distinguished according to types and sizes and the weight is adjusted according to file characteristics) are synthesized, data blocks are distributed to different links for parallel transmission, and pre-distribution verification ensures link load safety; and recombining the data blocks by the receiving end according to the numbers to realize file recovery. The system significantly improves the transmission efficiency through multi-link aggregation and dynamic strategy adjustment.

The invention discloses a power equipment data acquisition and processing system, which comprises a multi-protocol compatible acquisition module, an intelligent network detection module, a system service performance monitoring module and a high-concurrency processing module, the multi-protocol compatible acquisition module is responsible for adaptation and data acquisition of different power equipment protocols and normalization processing of the acquired data; the intelligent network detection module monitors a network link state, diagnoses a network fault reason and pushes fault information in real time; the system service performance monitoring module collects key performance indexes of a server, displays performance data through a visual interface, and triggers an alarm when the indexes are abnormal; the high-concurrency processing module compresses the collected data, realizes efficient pushing and priority processing of the data through a message queue, and guarantees the data processing efficiency in a high-concurrency scene; comprehensive monitoring of power equipment communication and system performance is realized, and data acquisition efficiency and system reliability are improved.

A fabric control protocol (FCP) and packet forwarding mechanisms are described that maximize utilization of bandwidth within massive, large-scale data centers having multi-stage data center switch fabric topologies, such as topologies that include a third switching layer formed by super spine switches. Automatic generation of data plane forwarding information referred to as FCP path information enumerates, for each data processing unit (DPU), the available FCP paths. The FCP path information may be based on unique combinations of peak points of the switch fabric for a given DPU with FCP colors assigned to network links that are used to multi-home the DPU to the switch fabric.

An apparatus to facilitate lossless and lossy automatic hardware compression in graphics-to-graphics network links is disclosed. The apparatus includes compressor / decompressor circuitry (CDC) integrated with physical layer (PHY) intellectual property (IP) hardware circuitry for a graphics processor unit (GPU)-to-GPU communication link communicably coupling a first GPU to one or more other GPUs, the CDC to: receive a data message from the first GPU, wherein the data message is in an uncompressed format; determine that a compression process is to be applied to the data message; apply the compression process to the data message to generate a compressed data message; and cause a GPU link IP hardware circuitry that comprises the PHY IP hardware circuitry to transmit the compressed data message over the GPU-to-GPU communication link.

The invention discloses a converged communication method and system for a satellite broadband ad hoc network, and belongs to the technical field of wireless communication networks, and the method comprises the steps: obtaining a signal quality parameter of a satellite communication link and a distribution density parameter of ad hoc network nodes, and carrying out the feature extraction to generate a network state feature vector; generating a dynamic switching decision instruction in combination with a preset spectrum interference threshold value and a satellite coverage range parameter, executing dynamic switching operation of a satellite link and an ad hoc network link to generate a switching result parameter, performing routing weight distribution on a satellite transmission path and an ad hoc network relay node to generate a fusion routing path, and transmitting the fusion routing path to the ad hoc network. And carrying out priority split charging and encryption compression on the heterogeneous data stream to generate a self-adaptive transmission data packet. According to the method, network state feature vector extraction, dynamic switching decision instruction generation and fusion routing path allocation technologies are adopted, efficient cooperation of satellite and ad hoc network resources can be achieved in a complex electromagnetic environment and a dynamic topology scene, and the communication reliability and the spectrum utilization rate are remarkably improved.

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 industrial distributed control system architecture, and discloses a dual-redundancy design method for a virtual controller VDPU, which comprises the following steps of: deployment of a four-network-port redundant network architecture: dividing four physical network ports into two groups of independent channels, and simultaneously configuring a network link automatic switching mechanism, the working states of the four network ports are monitored in real time, then double isolation of a physical layer and a protocol layer is achieved, and an independent heartbeat transmission channel is established; main / standby heartbeat monitoring and switching control: the main / standby controller periodically interacts state information packets through a special heartbeat channel, and establishes a three-level fault determination mechanism at the same time to perform seamless main / standby switching; a multi-mode data synchronization mechanism is implemented, namely initialization synchronization, increment synchronization during operation and exception recovery synchronization are started, separation of heartbeat signals and data synchronization can be realized through two groups of independent channels, and the fault-tolerant capability and the switching efficiency of the system are improved, so that the operation stability of the system is guaranteed.

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 discloses a multi-network communication method and device applied to unmanned driving, and belongs to the technical field of unmanned driving, and the method comprises the steps: obtaining 5G network signal parameter data from a 5G multi-network link channel, and filtering out the 5G multi-network link channel reaching the standard; the NPU neural network is used for conducting quantization processing on the standard 5G multi-network link channel network signal parameters, a comprehensive score of the standard 5G multi-network link channel network signal parameters is obtained, and the sequence of the current optimal link channel and other backup link channels is further obtained; adjusting the optimal link channel in real time according to a comparison result of a preset condition and the real-time 5G network signal parameter data associated with the current optimal link channel; and keeping communication with the cloud server based on the optimal link channel adjusted in real time. The multi-network communication module is composed of at least three independent 5G + C-V2X full-network communication modules and an auxiliary USIM card slot, the network can be optimized in real time along with vehicle operation, and it is ensured that the vehicle always uses the optimal 5G network.

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 relates to the technical field of network communication, and discloses a ubiquitous network dynamic fair rate cooperative control method, which aims at link time varying, topology reconstruction and multi-source and multi-path concurrency characteristics of an air-space-ground-sea fusion network. A routing node periodically collects indexes such as a request satisfaction rate, a queue length and a multi-hop queuing-free proportion to obtain link transmission quality and dynamically update an interest packet forwarding table; deducing a queue upper limit, calculating a rate shaping value in combination with an interest packet forwarding proportion, and carrying out delayed transmission on an over-limit interest packet; when the interest queue exceeds a threshold value, a congestion feedback value is generated and goes down along with a data packet, and an uncongested interface obtains a release bandwidth through probability compensation; and if the whole path is still congested, the consumer multiplicatively shrinks the sending window according to the feedback proportion. According to the method, the throughput is remarkably improved and the queuing delay is reduced while fair allocation of bandwidth resources is ensured.

The invention discloses a video monitoring system based on multi-link redundant transmission and intelligent supplementary transmission, relates to the technical field of communication monitoring, and solves the problems that key frames are lost due to insufficient network link stability, transmission delay is uncontrollable due to bandwidth resource allocation rigidness, and the dependency relationship between complex systems is difficult to optimize in real time. The video monitoring system comprises a link transmission management module, an edge intelligent cache module, a dynamic supplementary transmission control module and an intelligent storage management module, the problem of network disconnection is solved through a camera device in combination with redundant backup of a cache time model, and meanwhile, automatic extraction and complementation are achieved through a protocol, and seamless connection is achieved; through memory redundancy two-stage storage, the hard disk writing speed is improved, and the blocking probability of video data is reduced.

A device, system and method is provided for tracking network communication in a multi-protocol network. During the offline phase, a linkage graph may be generated representing network communication pathways of recorded messages comprising nodes representing network communication devices and edges representing direct communication paths pairwise connecting parent-child nodes over which the messages are transmitted. The linkage graph may be optimized by eliminating or reducing branching nodes. During a real-time online phase, for each new recorded message associated with a device node, tracing a communication pathway along edges of the optimized linkage graph by linking a sequence of nodes that connect sequential pairs of child-parent nodes extending from the device node to a root node. Simultaneous to linking each node to the device node, a network traffic metric for the linked node(s) may be accumulated to quickly and efficiently track the network traffic metric for the new recorded message.

The invention discloses a distributed data encryption transmission method and system, a storage medium and a program product, and the method comprises the steps: carrying out the layering and fragmentation processing of to-be-transmitted data, and obtaining a plurality of main fragments and a plurality of main fragment index tables; dividing each main fragment into a preset number of sub-fragments and generating a sub-fragment mapping table; generating verification data for each sub-fragment according to the data redundancy; the verification data and the corresponding sub-fragments are combined to generate redundant fragments; constructing a transmission control tree for each main fragment based on a network link state; generating node affinity according to the transmission control tree, and converting the node affinity into a time sequence key seed; performing encryption processing on the redundant fragments by using the time sequence key seed to generate a verification feature sequence; combining the redundant fragments with the verification feature sequence to form a transmission data packet; and transmitting the transmission data packet according to the node hierarchical relationship of the transmission control tree. According to the invention, the integrity and consistency of data fragmentation are improved, and the reliability and security of data transmission are further improved.

The invention discloses a vehicle-mounted equipment communication simulation system and method based on an AVCLAN protocol, and belongs to the technical field of vehicle-mounted network communication. The system comprises a data acquisition module which is used for obtaining the initial state of each vehicle-mounted device, the real-time change of a network link, the protocol parameters of an AVCLAN protocol, environment characteristics and packet loss data, and inputting the data to a complete vehicle-mounted device connection model, obtaining communication data packet size, communication link bandwidth, communication link distance, signal propagation speed and packet loss delay data among the vehicle-mounted devices; the communication delay calculation module is used for calculating the total communication delay among the vehicle-mounted equipment; and the communication simulation and optimization module is used for determining a communication performance evaluation result and a path and network optimization result. According to the scheme, the performance of the vehicle-mounted communication system can be accurately simulated and evaluated, the communication link, the bandwidth allocation and the data transmission strategy are optimized, and the reliability, the stability and the real-time performance of the system are improved.

The invention discloses a fault determination method and device, a nonvolatile storage medium and electronic equipment. The method comprises the steps that multiple pieces of simulation service flow data are sent to network element equipment, a dial test result generated by the network element equipment in response to the multiple pieces of simulation service flow data is received, and the network element equipment is in communication connection with a front-end service system through a service issuing platform; determining abnormal indexes in the dial test result, and performing clustering processing on the abnormal indexes by adopting a clustering algorithm to obtain a plurality of abnormal clusters; and obtaining abnormal logs in the service logs of the front-end service system, matching the plurality of abnormal clusters with the abnormal logs, and determining the network element equipment and / or the network link with the fault according to a matching result. According to the method and the device, the technical problem of relatively low reliability of network service caused by untimely fault detection of the network equipment and the network link in the service issuing platform is solved.

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 communication method and system for realizing three-in-one network based on an intelligent CPE gateway, and relates to the technical field of network communication, and the method comprises the steps: connecting a telecommunication network, a broadcast television network and the Internet through the intelligent CPE gateway, collecting bandwidth, delay and packet loss rate data in real time, and storing the data in a time sequence database; analyzing historical and real-time data based on a flow prediction model of machine learning, generating a network demand prediction result of a future time period, and dynamically allocating multiple network resources by using a reinforcement learning algorithm; according to the priority of the service type, splitting the data flow to different network links by adopting a multi-path transmission protocol, and meanwhile, carrying out localization processing on the high-time-sensitivity service through an edge computing node; and providing a user-defined interface, setting the bandwidth priority of the service, and feeding back a user manual strategy to the resource allocation model. According to the invention, efficient interaction of three-network data is realized through multi-network access and protocol conversion of the intelligent CPE gateway.

The invention relates to the technical field of communication management, in particular to a network operation and maintenance monitoring system based on intelligent analysis, and the system comprises a link load balancing module which collects flow input data and output data associated with a current scene in a network link, determines an initial partition range of the network link, and stores the flow input data and output data in the network link; and dividing the link partition with the traffic density exceeding a preset load threshold value into a plurality of sub-segments to obtain link subdivision load distribution information. According to the invention, through multi-level monitoring and adjustment for the link flow, the refinement and dynamic adaptive capacity of network operation is improved. Initial partitioning and detailed analysis are performed on the link based on the traffic density and the topological information, so that a high-load link area can be effectively positioned, and waste of link resources and performance bottleneck are avoided. In the dynamic monitoring link, the abnormal change of the link state is captured by extracting link transmission delay data and analyzing a delay difference matrix, and the fluctuation condition of the link is effectively tracked by marking the maximum value, the minimum value and the change trend.

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 invention relates to the field of network link quality evaluation, and discloses a link quality evaluation method based on test data fusion statistics, which comprises the following steps: S1, collecting time delay, flow and topological parameters of a network link, and carrying out sliding window standardization; s2, constructing a four-dimensional non-negative tensor comprising a link number, a parameter dimension, a network slice and time; s3, features are extracted through non-negative Tucker decomposition with sparse constraints; s4, solving a dynamic weight based on a three-party game model of time delay sensitivity, bandwidth competition and reliability guarantee; s5, calculating a link quality score in combination with the weight and the tensor core; and S6, generating a thermodynamic diagram. Through the technical scheme of sliding window standardization and four-dimensional non-negative tensor construction, the technical effects of eliminating parameter dimension differences and adapting to topology dynamic changes are achieved by utilizing window dynamic calculation of mean values and standard deviations and sparse constraint modeling, and the input data quality of a subsequent game model and weight calculation is improved.

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.