1159 results about "Transmission protocol" patented technology

The invention relates to the technical field of medical terminal data secure transmission and real-time management and control, in particular to a bank medical intelligent terminal data secure transmission and real-time management and control system and method. The behavior analysis module is used for calculating threat indexes through federated learning, the strategy module is used for dynamically switching algorithms and isolating anomalies, and the audit module is used for block chain verification and zero knowledge verification to generate a report. According to the method, dynamic encryption and fragmentation cutting are driven through sensitivity grading labels, the accuracy of data protection is improved, a time sequence attack path is blocked based on cooperation of fragmentation time sequence reference and an encryption transmission protocol, and dual guarantee of decentralized auditing and tampering positioning is realized by combining block chain hash identification and zero-knowledge proof verification, so that the security of data protection is improved. And full-link safe transmission and real-time management and control requirements of medical terminal data are met.

The invention relates to the technical field of integration of artificial intelligence security and network security, and discloses an AI dynamic security transmission system based on an SASE framework, which realizes security access control based on AI dynamic identity verification through an SASE integration access module, acquires and predicts network performance change in real time by using a network state sensing module, and transmits the network performance change to a network server. Equipment, environment and data content are subjected to multi-dimensional analysis by means of a security risk assessment module, a quantitative risk score is generated, and a transmission protocol, parameters and encryption strength are dynamically adjusted according to a network state and the risk score by means of a dynamic transmission optimization module and a self-adaptive encryption module; the problem that safety protection and transmission efficiency are difficult to cooperate in a traditional architecture is effectively solved, low-delay and high-reliability data transmission service can be provided for AI application in a complex network environment, meanwhile, self-adaptive dynamic protection of the whole data transmission process is achieved, and data safety is comprehensively guaranteed.

The invention provides a data management method, device and equipment and a readable storage medium, and the method comprises the steps: obtaining key value cache data generated by a first type of computing power unit in a pre-filling stage, transmitting the key value cache data to a memory pool, and caching the key value cache data in the memory pool; and in response to a data acquisition demand of the second type of computing power unit in a decoding stage, transmitting the specified key value cache data cached in the memory pool to the second type of computing power unit according to the data acquisition demand. According to the technical scheme of the invention, the memory pool is arranged and the aggregated transmission channel is utilized, so that the transmission efficiency of the key value cache data between the computing power devices is effectively improved, the data transmission delay is reduced, and the network transmission protocol overhead is reduced, thereby improving the data interaction efficiency of the computing power devices in a pre-filling stage and a decoding stage, and improving the user experience. The utilization of computing power resources is optimized, and the throughput and performance of large model reasoning are improved.

The invention relates to the technical field of Internet of Things communication, and discloses an Internet of Things data information transmission method, a switch and a transmission system. The method comprises the following steps: acquiring multi-source data streams of Internet of Things terminal equipment, dynamically fragmenting according to types to generate fragmented data packets, matching a target transmission protocol for the fragmented data packets, generating a dynamic routing path in combination with a priority mark and the like, and transmitting the dynamic routing path. The system also has the functions of link quality evaluation and route adjustment, redundant coding packet loss recovery, transmission delay and integrity monitoring processing, encryption transmission based on security level, resource optimization, transmission strategy adjustment and the like. The switch is integrated with a data fragmentation module, a protocol matching module and the like. The transmission system comprises a terminal device cluster, an edge node network, a cloud server and a protocol conversion gateway. The data transmission efficiency, reliability and safety are improved, resource utilization is optimized, and the data transmission problem of the Internet of Things is effectively solved.

The invention discloses a cloud edge cooperation method for AI intelligent Internet of Things equipment data processing, and relates to the technical field of data processing, and the method comprises the steps: S1, intelligent data collection, S2, edge side AI preprocessing, S3, edge-cloud end cooperation reasoning, S4, intelligent data transmission, S5, cloud end AI big data analysis, S6, real-time feedback and self-optimization, S7, adaptive resource scheduling, and S8, full-link visualization. Through AI-driven dynamic sampling and multi-modal data fusion, the efficiency and precision of data acquisition are optimized, redundancy or omission caused by fixed sampling is avoided, meanwhile, the transmission load is reduced, layered task dynamic unloading and intelligent transmission protocol optimization are achieved, the flexibility and stability of cloud edge collaboration are improved, and the cloud edge collaboration efficiency is improved. Manual intervention is reduced through a real-time feedback and self-optimization mechanism, the autonomy of the system is enhanced, and the interpretability and fault diagnosis capability of the system are remarkably improved through a visual panel and a causal reasoning model.

The invention relates to the technical field of water and fertilizer integration, and provides an intelligent water and fertilizer integration optimization method and device based on the Internet of Things technology, and the method comprises the following three core stages and interaction mechanisms: 1, a data perception and edge processing stage; 2, an intelligent decision-making and dynamic optimization stage; and step 3, an accurate execution and closed-loop control stage. Soil parameters, meteorological parameters and crop physiological parameters are comprehensively collected through a multi-modal sensor network, the data transmission efficiency is improved by using an LoRa / NB-IoT hybrid transmission protocol, data cleaning and standardization processing are completed in combination with edge computing nodes, and the data fusion depth and quality are improved; a multi-objective optimization function is constructed based on a crop growth model, a water and fertilizer regulation and control strategy is dynamically generated through a machine learning algorithm, and collaborative optimization of water saving, yield increasing and environmental protection is achieved.

The invention discloses an industrial odor online monitoring system based on big data. The system comprises a data acquisition module, a preprocessing module, a feature fusion module, a multi-source sensing weight analysis module, a dynamic risk assessment module, a self-adaptive correction module and a real-time feedback module. Data interaction among the modules adopts a block chain encryption transmission protocol, and a feature evaluation mapping chain with a timestamp is established in a distributed database. Through the innovative design of heterogeneous sensor network collaborative perception, cross-modal feature organic fusion, pollution diffusion three-dimensional dynamic deduction and a credible data governance architecture, a new industrial bad smell monitoring normal form with environment intelligent adaptability is constructed. The four technical effects form complementary support from four dimensions of data acquisition credibility, feature modeling scientificity, risk assessment accuracy and system decision robustness.

A fabric control protocol (FCP) is a data transmission protocol that enables spraying of individual packets for a given packet flow across a data center from an ingress interface of the source data processing unit (DPU) across a plurality of parallel data paths of a logical tunnel in the network fabric to the egress interface of the destination DPU. The FCP has congestion control mechanisms used to determine a degree of congestion at the egress interface of the destination DPU and to modify a send window size at the source DPU based on the degree of congestion. Reliable FCP (rFCP) extensions provide reliability enhancements and improved failure resilience within the data center. The rFCP extensions provide an unsolicited mode for low latency operation with enhanced reliability mechanisms. The rFCP extensions provide failure resilience mechanisms to identify and avoid failed paths among multiple parallel data paths within the logical tunnel.

The invention relates to the technical field of satellite communication, in particular to a high-orbit and low-orbit satellite communication resource scheduling method and system, which collects real-time state information of high-orbit and low-orbit satellites, performs digital simulation of a satellite network based on the real-time information, constructs a satellite network management model and predicts satellite trajectory change. The method comprises the following steps: performing multi-dimensional evaluation on a satellite network management model by using a pre-constructed network evaluation framework, generating cross-orbit link evaluation information, analyzing parameters such as link quality and bandwidth, obtaining current service demand information, analyzing a communication resource allocation strategy in combination with a cross-orbit link evaluation result, and formulating a resource scheduling strategy according to strategy analysis. And a high-orbit and low-orbit satellite communication network is constructed through execution of a hierarchical network management mechanism and a cross-orbit data transmission protocol.

The invention relates to the technical field of data fusion, in particular to a multi-source heterogeneous data fusion method and system based on cloud computing, and the method comprises the steps: carrying out the feature extraction of multi-source heterogeneous data, and generating standardized metadata comprising a data type, a transmission protocol and a semantic tag; an adaptive interface is dynamically generated based on the metadata, the adaptive interface comprises a data format conversion module, a protocol packaging module and a semantic analysis module, and cross-domain compatible data streams are output; performing data fragment encryption and priority marking on the cross-domain compatible data stream to generate a secure transmission block carrying a transmission feature vector; incremental fusion is executed at the cloud fusion node, semantic conflicts are detected by constructing a knowledge graph, and a fusion intermediate state is generated; and performing dynamic verification on the fusion intermediate state based on the credibility evaluation model, and outputting final fusion data with a credibility label. According to the method, the dynamic verification and hierarchical labeling of the fusion result are realized, and the semantic consistency and expandability of the fusion intermediate state are ensured.

The invention discloses a hierarchical optimization scheduling method for deep peak regulation of thermal power generating units, and the method comprises the following steps: system layering: dividing a power system into a plurality of subsystems, each subsystem comprising a thermal power generating unit cluster and differentiated load demands; subsystem-level prediction: generating a basic scheduling plan; dynamic preference-driven multi-target collaborative optimization: receiving multi-target data from each subsystem, carrying out multi-target collaborative optimization, modeling three targets of a power grid company, an environmental protection department and a terminal user as game participants, quantifying the priority of each party by adopting a fuzzy membership function, generating a dynamic game solution through a Nash equilibrium solver, and carrying out multi-target collaborative optimization; screening out a Pareto optimal solution giving consideration to interests of multiple parties; performing online verification on the dynamic security domain; virtual synchronous machine cooperative support: simulating operation characteristics of a synchronous generator; and global coordination and iterative optimization: uploading the optimal scheduling scheme of each subsystem to a scheduling center through a message queue telemetry transmission protocol, and performing global constraint verification.

The invention relates to the technical field of audio pushing optimization, and discloses an audio stream pushing crash prevention method and system, a storage medium and equipment, and the method comprises the steps: dynamically generating a format perception pre-detection thread based on a current audio stream format, and adjusting the priority and sampling frequency of the thread according to the audio bit depth and the sampling rate; multi-level intelligent buffer area management with sound quality priority is implemented, and dynamic adjustment of the size of a buffer area and adaptive switching of the buffer area are realized according to different audio formats and input source types; establishing a cross-brand equipment coordination framework, and setting a watchdog timer with preferential tone quality to perform timed monitoring so as to process response timeout; triggering an elegant degradation strategy of sound quality priority according to the resource availability score, and reducing the audio processing quality step by step to maintain the playing continuity; the key characteristics of each transmission protocol are identified and utilized, the transmission protocols are adaptively switched according to the network condition and the processing capability of brand equipment, and real high-quality and zero-interruption audio experience is brought to users.

The invention discloses a reliable communication system based on a publishing and subscribing mode in a satellite-ground weak network environment, and aims to solve the problems of high round-trip delay, limited link bandwidth, high instantaneous packet loss rate, easiness in blocking and switching influence of links and the like in a data transmission process between a low-orbit satellite and a ground station. A publishing and subscribing model is introduced into an application layer to realize service logic decoupling, deep fusion with an underlying enhanced QUIC transmission protocol is realized, and mechanisms such as message persistence, breakpoint resume, forward error correction and connection migration are combined, so that stable, orderly, complete and safe transmission of service data can still be ensured under the conditions of link instability, quality fluctuation and communication interruption, and the service data transmission efficiency is improved. And high availability and continuity of a satellite-ground communication task under a weak network condition are realized.

The invention discloses a motor working condition monitoring method with a high-speed data transmission capability, and relates to the field of motor operation working condition detection and information transmission. The method comprises the following steps of: synchronously acquiring multi-dimensional time sequence data of a motor under multiple working conditions, and performing data segmentation, standardization, fixed-step downsampling, frequency domain conversion and feature fusion to form a multi-dimensional feature vector; then building a BiLSTM-Attention deep learning model, extracting bidirectional time sequence dependence of the sequence, focusing key time step features, and training to obtain a working condition monitoring model; the monitoring reliability is guaranteed through a dual detection mechanism, and high-speed synchronous transmission of multi-sensor data is realized based on an EtherCAT communication protocol stack. According to the method, through collaborative modeling of multi-dimensional time-frequency feature fusion and a deep learning model, a high-speed synchronous transmission protocol stack and a dual detection mechanism are combined, motor working condition feature expression can be remarkably enhanced, and high-precision data transmission and reliable monitoring can be achieved.

The invention discloses a multi-dimensional holographic image real-time rendering method and system based on dynamic light field modulation, and relates to the technical field of holographic display, the method is applied to terminal equipment and a server, the terminal equipment determines a space coordinate range based on quantum dot super-structure surface characteristics by obtaining related parameters of a target holographic scene, and the real-time rendering of a holographic image is realized. A quantum dot excitation sequence is generated to regulate and control the micro-nano structure of the super-structure surface, a joint coding model is constructed, a target light field modulation instruction set is generated through optimization, corresponding multi-dimensional light field data is requested from a server, and a holographic scene is generated through processing, fusion and rendering; the server receives the request, calls original holographic data, constructs a coding model and a compression model, and sends multi-dimensional light field data subjected to entropy compression to the terminal through a multi-channel transmission protocol; according to the method, efficient real-time rendering of the multi-dimensional holographic image is achieved, the rendering efficiency and quality are improved, and the method is suitable for scenes with high requirements for real-time performance of the holographic image.

The invention discloses a government affair data dynamic authorization management method based on secure multi-party computing, and relates to the field of government affair data security authorization management, and the method comprises the steps: distributing a unique identity identifier for each participant, generating an asymmetric key pair through employing a national secret SM2 algorithm, registering a public key and mechanism attribute information to an alliance chain smart contract, and generating an identity certificate package; and based on attribute information in the identity credential packet, the participants cooperatively generate anti-quantum dynamic attribute-based encryption key fragments through a secure multi-party computing protocol, and the anti-quantum dynamic attribute-based encryption key fragments are distributed to the participants by adopting a threshold secret sharing technology. Threshold decryption and token verification are achieved through an alliance chain verification intelligent contract, an authorization record is generated, an access control strategy of an edge computing node is configured according to the authorization record, an oblivious transmission protocol is adopted to respond to data query, and an audit node monitors an access log, dynamically adjusts attribute weight parameters and synchronizes the attribute weight parameters to a key fragment.

The invention discloses a remote data rapid transmission system and method based on the Internet, a client initiates a session establishment request containing a session type identifier and a transmission protocol identifier to a server, receives a session response message after transmitting an initial data packet, obtains a temporary session key through verification of a key distribution center, and transmits the session response message to the server; an authorization identifier and a protocol verification symbol are generated through hierarchical decryption, a security enhancement data packet is constructed and sent, an end-to-end encryption transmission channel is further established, and meanwhile, a session maintenance mechanism is provided. And the server verifies a session type identifier and a transmission protocol identifier of the client, generates a session response message containing a dynamic confusion strategy and a trap identifier, submits the session response message to a key distribution center for signature, returns the session response message to the client, activates a secure transmission service instance after verifying a security enhancement data packet, and implements a series of security control strategies. According to the invention, the problems of low transmission efficiency and poor security of the existing remote data transmission system are effectively solved, and efficient and secure data transmission is realized.

The invention discloses a Java-based large language model dynamic adaptation method and system, belongs to the technical field of artificial intelligence, and aims to solve the technical problems of overcoming the interface difference of multiple model interfaces, simplifying the development process and providing standardized and high-expansibility large model management. Comprising the following steps: providing a model registration and dynamic loading service, a protocol conversion and parameter standardization service and a load balancing and failover service; a streaming transmission protocol service, a function call dynamic injection service and a global error processing mechanism are provided; when a user provides a document analysis and partitioning service, a vectorization index construction service and an RAG enhanced generation service to ask questions, relevant document blocks in the Pinecone are retrieved through the RAG enhanced generation service to serve as contexts to be injected into cue words of the large language model, and answers generated by the large language model are returned.

The invention discloses an inter-core communication method, system and device based on a heterogeneous asymmetric processor and a medium, and the method comprises the steps: carrying out the classification and feature extraction of a target task, constructing a task feature vector, and mapping the target task to a processor core; the load is detected in real time, when the real-time load exceeds a threshold value, a task migration strategy is executed through atomic operation and a breakpoint management mechanism, and the voltage and frequency of a processor core are adjusted according to a target task; a trusted execution environment is divided in a processor core, a dynamic session key is generated, the dynamic session key is transmitted through a physical isolation bus, cross-core communication data is encrypted, resources are allocated according to a three-dimensional dynamic resource matrix, and cross-core data synchronization is achieved through a two-channel redundancy transmission protocol. According to the method, the software collaboration framework of the heterogeneous asymmetric processor is optimally designed, so that the performance of the heterogeneous asymmetric processor is improved, and the method can be widely applied to the technical field of inter-core communication.

The invention relates to the field of community old-age care, and discloses a community old-age care-oriented medical-care-and-care-combined data intercommunication and service coordination system, which comprises a sensing module used for acquiring physiological data of old people, old-age care service data, environment data and service demand information to form multi-modal information; the network module is used for carrying out multi-modal information transmission, protocol conversion and edge calculation preprocessing to obtain processed data; and the data module is used for constructing a standardized data lake according to the processed data by adopting a unified data standard and a main data management technology, and carrying out fusion storage, treatment and safety protection to obtain multi-source information. Multi-modal information is collected to provide a data basis for cross-mechanism cooperation, data transmission and preprocessing are performed, and a standardized data lake is constructed through a unified data standard and main data management, so that medical institutions, pension institutions and community grids can share global data such as health states, service records and the like of old people in real time.

The invention discloses an air quality monitoring data processing transmission method and device, and relates to the technical field of data transmission, and the method comprises the steps: collecting multi-modal environment parameters through a distributed sensor array, calculating a pollutant concentration covariance matrix of adjacent monitoring nodes, and judging an abnormal monitoring event according to a condition number; hierarchical compression is carried out by adopting a compressed sensing algorithm driven by space-time correlation; calculating a channel comprehensive quality index, predicting a channel state in combination with a deep learning model, dynamically selecting a transmission protocol combination, and obtaining a multi-protocol data stream; performing space-time interpolation reconstruction, calculating a reconstructed hash, writing the reconstructed hash into the block chain, and performing integrity verification; the weight of the deep learning model is updated, the compressed sensing algorithm is optimized, energy distribution is optimized according to the transmission load, and iterative optimization of the deep learning model is carried out. According to the invention, data compression is carried out by using the spatial-temporal correlation driven compressed sensing algorithm, so that the data transmission burden is reduced.

The invention discloses an emergency patient information data matching method and system based on the Internet, and the method comprises the steps: obtaining multi-source heterogeneous data in real time according to an electronic medical record, image data and real-time vital sign data of an emergency patient, and generating a time-synchronized multi-source data set through a self-adaptive data format conversion algorithm; for the multi-source data set, using a feature extraction network to extract illness state features of patients, and generating patient priority scores; adjusting a resource allocation scheme in real time by adopting a medical resource matching algorithm based on a graph neural network according to the patient priority score and the illness state feature, and generating a preliminary medical resource matching result; and for a medical resource matching result, generating a final emergency patient information data matching scheme through a differential privacy protection mechanism by adopting a data security transmission protocol based on homomorphic encryption. According to the embodiment of the invention, the method can meet the requirements of quick, safe and effective processing of data in an emergency scene, and improves the quality and efficiency of emergency medical service.

The invention discloses an electricity utilization information acquisition device of an electric energy meter metering pulse simulation system, and relates to the technical field of monitoring analysis, and the method comprises the steps: carrying out the ripple disturbance simulation of an initial pulse characteristic data set, and generating an interference pulse waveform matrix; performing multi-source interference signal separation processing on the waveform matrix with the interference pulses, constructing a three-dimensional clock error compensation network, generating a clock synchronization calibration pulse set, and extracting dynamic characteristic parameters corresponding to the clock synchronization calibration pulse set; performing multi-modal data fusion processing on the dynamic characteristic parameters to form compressed pulse characteristic data; establishing a simulation load feature matching model, outputting a simulation load adaptation parameter group, and converting the simulation load adaptation parameter group into a wireless transmission data frame; and carrying out transmission protocol self-adaptive packaging on the wireless transmission data frame, dynamically adjusting a data packaging strategy based on a channel quality evaluation index, and executing remote power utilization information acquisition and transmission. The method has the effect of improving the power utilization information acquisition efficiency.

A hierarchical-context area network includes a first virtual private network infrastructure context area network for a first virtual private network infrastructure context area in a first virtual private network infrastructure context level that includes a first virtual private network server, a second virtual private network infrastructure context area network for a second virtual private network infrastructure context area in the second virtual private network infrastructure context level that includes a second virtual private network server, wherein the first virtual private network server receives a protocol data unit from a client device and identifies the second virtual private network server, in accordance with a routing control policy defined by the hierarchical-context area network, as a current point of egress for transporting the protocol data unit through the hierarchical-context area network to send to an external device.

The invention relates to a terminal device communication transmission method and device based on a single-soldier ad hoc network and a medium. Reliability is improved through a dynamic dual-mode compensation mechanism. The method specifically comprises the following steps: a terminal establishes a main communication mode (including an initial routing and transmission protocol) based on dynamic topology, and establishes a complementary auxiliary communication mode (different routing strategies or protocols but consistent capacities); dual modes are bound into a redundancy group, state differences are monitored in real time, and untransmitted data packets / path delays are associated with dynamic identification bits; performing compensation transmission on difference data pointed by the identification bit through an auxiliary mode, and clearing the identification bit after the compensation transmission is completed; and if the redundant group has no residual identification bit, terminating the main mode and switching the auxiliary mode to dominate transmission. The network state and the compensation requirement are accurately associated through the dynamic identification bit, self-adaptive compensation of difference data is achieved, waste of redundant resources is avoided, and meanwhile the end-to-end communication success rate in the high dynamic environment is ensured through the dual-mode complementary characteristic.

The invention relates to the technical field of well site fracturing, and discloses a well site fracturing dynamic analysis method based on the Internet of Things, which comprises the following steps: S1, constructing a multi-level sensor network in a well site for acquiring fracturing equipment operation parameters, underground reservoir dynamic response data, fracturing fluid performance parameters and well site surrounding environment monitoring data in real time to form multi-source data; s2, preprocessing the collected multi-source data through an edge computing node to obtain preprocessed data, uploading the preprocessed data to a cloud analysis platform through an encryption transmission protocol, and constructing a well site fracturing digital twinborn model on the cloud analysis platform; s3, the cloud analysis platform carries out correlation calculation on the preprocessed data and the digital twinborn model through a multi-dimensional analysis model, and a comprehensive evaluation result of the fracture propagation dynamic characteristics, the reservoir flow conductivity and the fracturing equipment operation state is generated; and S4, generating a regulation and control instruction based on a comprehensive evaluation result, and dynamically adjusting the fracturing parameters.

The invention provides an AI semantic model and robot interconnection method and system based on an MCP protocol and a medium. A natural language instruction is received, and a structured operation sequence is generated through a semantic analysis model; extracting a semantic tag dynamic matching service engine in the sequence, and generating an operation request containing a tool identifier and a parameter template; if the operation authority is verified based on the verification security token, triggering secondary authorization of the user, and if the authority is passed, packaging the operation request into a security instruction according to an encryption rule; a transmission protocol channel is dynamically selected based on the real-time flag bit, an executable instruction stream is generated, and therefore the target tool is driven to execute operation and feed back execution state data; according to the method, the problem of AI and robot instruction heterogeneity is solved through dynamic matching of semantics and robot tools, the unauthorized operation is intercepted based on authority verification, data security is guaranteed through field-level encryption, and a safe and efficient man-machine interaction framework is provided for intelligent manufacturing.

The invention relates to the technical field of data processing, in particular to an FPGA (Field Programmable Gate Array) and CPU (Central Processing Unit) cooperative network data processing system, which comprises a network interface module for receiving and forwarding an external data flow, and a protocol analysis module for distinguishing a service message and a protocol message based on a message header characteristic and a load mode; the service processing module executes protocol format conversion, security encryption and data extraction in the FPGA; the protocol stack interaction module transmits a protocol message to the CPU through the MAC layer communication interface; the protocol stack module activates necessary protocol services in the CPU and generates a resource allocation instruction; and the data integration module receives the service data flow and the protocol processing result, and dynamically adjusts the encryption rule. According to the invention, FPGA business data closed-loop processing and CPU protocol service physical isolation are realized, a double-processing-unit architecture supports financial signature and industrial filtering cascade operation, the MAC layer interface is additionally provided with cyclic redundancy check to guarantee transmission reliability, and equipment processing efficiency and anti-attack capability under a fusion scene are improved.

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 discloses a multi-antenna joint precoding Gbit wireless transmission system, which relates to the technical field of wireless communication and comprises a frequency spectrum channel acquisition module, a signal preprocessing module, a precoding joint optimization module, a transmission performance evaluation module and a closed-loop parameter control module. The spectrum channel acquisition module acquires signal data and evaluates a transmission bit error rate and a signal-to-noise ratio by using a spectrum analyzer; the signal preprocessing module performs denoising and normalization and constructs a channel model; the precoding joint optimization module dynamically adjusts precoding and suppresses bit error diffusion; the transmission performance evaluation module calculates a data rate and optimizes protocol design; and the closed-loop parameter control module dynamically configures system parameters to guarantee closed-loop optimization. According to the method, the transmission efficiency and the stability of a Gbit wireless transmission system are remarkably improved, a complex channel environment is effectively dealt with, the bit error rate is reduced, the data rate is improved, a transmission protocol is optimized, intelligent dynamic adjustment of system parameters is realized, and the optimal performance of a multi-antenna joint precoding technology is ensured to be exerted.