969 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.

Disclosed is a system for providing personalized self-medication, onboarding, training and improving medication adherence. The system includes a patient computer system comprising at least one processor and at least one memory component: a display, an optional input device, and an optional pointing device, a server connected to the patient computer system by a network link, the server comprising at least one processor and at least one computer readable medium wherein at least one computer readable medium comprises instructions that when executed by at least one processor, cause at least one processor to perform acts comprising: (i) responsive to patient input data, producing a patient personalized assessment; (ii) formulating a customized intervention for the patient based on the patient input data and / or personalized assessment; and (iii) presenting the patient personalized assessment and / or customized intervention on the display.

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 relates to the technical field of smart power grids, in particular to a communication link switching method of a heterogeneous network, which comprises the following steps: constructing a network link quality weighted evaluation model for a cellular mobile network, a narrowband Internet of Things and a Wi-SUN network; the communication link quality of different types of networks is monitored and evaluated according to the real-time link quality evaluation parameters and the network link quality weighted evaluation model, so that the quality condition of the current communication link can be intelligently identified; moreover, when the link quality of any network is lower than the preset threshold value, the method can quickly trigger the switching action of the communication link, and the uplink communication link of the gateway is switched from the network with poor quality to the network with better quality, so that the stability and the reliability of the communication link are remarkably improved, and the communication efficiency is improved. And the problem of communication interruption or data loss caused by poor network quality is effectively avoided, so that the overall network communication performance is optimized, and the continuity and reliability of data transmission are ensured.

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.

Provided in the present invention is a node-type edge computing system. The system comprises a micro-service module, a CI / CD module, an application management module, an observation module and a security module. The node-type edge computing module in the present invention has the characteristics of having a low network delay, supporting mass data access, having an elastic infrastructure, etc. Moreover, in addition to reducing the transmission delay, the advantages brought about by shortening a spatial distance further comprise the delay of various PLCs, gateways, routing-transfer, and network device processing in a complex network is also reduced. In addition, since the probability of network link contention is greatly reduced, the overall delay can be significantly reduced. By means of the node-type edge computing module, a distributed capability is added to a traditional cloud center, some service logic is deployed on an edge side, and related data processing is completed, such that the pressure of transmitting data back to a center cloud can be greatly relieved. The node-type edge computing module can also provide an elastic virtualization capability, such as calculation, networking and storage, based on an edge location, and can truly realize "cloud-edge collaboration".

The invention provides a dynamic multi-link intelligent management and scheduling system, and relates to the technical field of network communication. According to the system, real-time monitoring, dynamic management and transmission data scheduling of a network link can be realized, and the problems of low bandwidth utilization rate and insufficient transmission efficiency in the prior art are solved. The method comprises the following steps: firstly, acquiring and monitoring state information of each link in real time through an intelligent agent technology below a link layer; and secondly, the system performs link admission control according to real-time monitoring data by using a dynamic regulation rule method, and dynamically judges whether a new relay link needs to be established and provides an optimal relay node selection when the data transmission bandwidth between the two nodes is insufficient. And finally, multi-link transmission data scheduling is carried out by adopting a mode of combining deep reinforcement learning and a heuristic scheduling algorithm, and the bandwidth utilization rate is improved to the maximum extent. On the whole, an efficient and intelligent network link management scheduling scheme is provided through combination of methods of intelligent proxy, dynamic regulation rules, deep reinforcement learning and the like, and the utilization rate of network resources and the quality of data transmission are effectively improved.

The invention discloses a dynamic traffic scheduling method and system based on an SD-WAN technology, which can timely discover potential problems in a network by monitoring performance parameters of network links and nodes in real time, and can effectively relieve network congestion and improve the overall network performance based on analysis of the performance parameters and dynamic adjustment of network routing and bandwidth allocation strategies. According to the method, a high-flow time period, a low-flow time period and key service flow are identified, so that the distribution of network resources is more reasonable and efficient, the adjusted network performance is evaluated in real time, the expected effect of each adjustment can be ensured, and if the performance does not reach a preset standard, the scheduling strategy is continuously optimized, and the scheduling efficiency is improved. According to the technical scheme, the method is beneficial to adapting to rapidly changing network environments and service requirements, the stability and reliability of the network are enhanced, the network states, scheduling strategies and performance evaluation results before and after adjustment are recorded in logs, and operation and maintenance personnel can rapidly position network problems by analyzing log data, so that the operation and maintenance efficiency and accuracy are 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 discloses a multi-link fusion method and system based on an SD-WAN (Secure Digital Wireless Area Network) technology, which can timely discover and deal with the condition of network failure or performance reduction by monitoring network state parameters of a plurality of network links in real time, and is helpful for ensuring reliable network connection at any time point, thereby improving the reliability and the stability of the network, and improving the reliability and the reliability of the network. By dynamically adjusting distribution of data traffic, the optimal link combination can be selected for data transmission, so that congestion is avoided, delay is reduced, the packet loss rate is reduced, the utilization rate of network bandwidth is maximized, the data transmission efficiency is remarkably improved, the routing optimization step can quickly respond to service changes by utilizing flexibility and programmability of the SDN technology, and the service quality is improved. According to the method, the continuity and the high efficiency of services are ensured by optimizing data transmission routes, existing network resources can be fully utilized through multi-link fusion and intelligent scheduling, excessive dependence on a single link or an expensive high-performance link is avoided, and reduction of network construction and operation and maintenance cost is facilitated.

The invention discloses a data security protection method based on link layer transparent encryption, and the method comprises the steps: determining a plurality of network interfaces of a transparent encryption model, and setting the network interfaces in a promiscuous mode; the method comprises the following steps: starting a promiscuous mode, capturing all original data packets passing through a target link, filtering to obtain a plurality of original data packets needing to be encrypted, then analyzing to obtain information of an IP header, then determining the initial position and length of an IP packet data load, and further determining a target data load; encrypting the target data load based on a preset encryption algorithm and the encryption key to obtain an encrypted data load; dynamically updating the information of the IP header based on the encrypted data load; and recombining the updated information of the IP header and the encrypted data load into an encrypted data packet, and forwarding the encrypted data packet to the target interface. According to the method, encryption is carried out on a network link layer, only the IP packet data load is encrypted, an IP address does not need to be configured or a network structure does not need to be modified, and normal operation of an existing network system and various devices is ensured.

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.

The invention discloses a network congestion control method, a storage medium and electronic equipment. Relates to the technical field of network communication, and the method comprises the following steps: in a process that a sending end sends a target data packet to a receiving end through a switch, metadata is measured based on an in-band telemetering function integrated by the switch, and the metadata is used for indicating state information of a link; the link is used for indicating a transmission path of the data packet from the sending end to the receiving end through the switch; detecting a congestion state of the link based on the metadata; and when the congestion state is that congestion exists, sending the congestion information of the link to the sending end, so that the sending end adjusts the data packet sending rate based on the congestion information. According to the invention, the technical problems of low congestion identification accuracy and much network link bandwidth waste in the prior art are solved.

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.