561 results about "WebSocket" patented technology

The invention discloses a JDK8-based heterogeneous service large model dynamic adaptation and intelligent scheduling method and system, and belongs to the technical field of artificial intelligence service integration, and the method comprises a unified service module which provides standardized HTTP / WebSocket access for an application layer and shields the difference of multiple platforms at the bottom layer; the dynamic routing module is used for dynamically selecting service nodes based on service quality indexes and supporting weight calculation, fusing recovery and flow dyeing; the service execution module is used for loading a platform adapter through a dual-mode service factory, integrating a tool calling function and realizing protocol conversion and authentication injection; and the configuration management module supports dual-configuration source hot loading of the static file and the dynamic database and provides versioning rollback and consistency verification. According to the method, the problems of multi-platform protocol difference, service rigid expansion, tool calling coupling and the like can be solved, the complexity of multi-platform management is remarkably reduced, and the flexibility and maintainability of the system are improved.

The embodiment of the invention provides a distributed server cluster log processing method and device, and the method comprises the steps: constructing a distributed server cluster log collection network, and dynamically distributing collection tasks through a load balancing scheduling center. An incremental data acquisition channel is designed, efficient transmission is realized by using a websocket long connection pool, and the transmission efficiency is optimized in combination with real-time compression coding and a repeated data detection mechanism. An intelligent log analysis model is constructed, the intelligent log analysis model comprises an anomaly detection sub-model, a mode recognition sub-model and an event association analysis sub-model, anomaly score calculation, log classification labeling and multi-dimensional association analysis are achieved based on a deep learning method, and visual display and data export functions are provided. According to the method, the defects of the traditional technology in the aspects of distributed acquisition, data transmission, intelligent analysis and the like are effectively overcome, and the performance and practicability of a log processing system are remarkably improved.

In order to efficiently manage a secure tunnel between a zero trust network access (ZTNA) connector (on the customer premises hosting a ZTNA application) and a cloud-based ZTNA data plane, tunnel components such as a WebSocket server can be run on the cloud platform that is hosting the data plane. As a significant advantage, this can simplify customer ZTNA deployments by permitting a reduction in the size and complexity of the ZTNA connector that is deployed to the customer premises.

A method for fetching a content from a web server to a client device is disclosed, using tunnel devices serving as intermediate devices. The tunnel device is selected based on an attribute, such as IP Geolocation. A tunnel bank server stores a list of available tunnels that may be used, associated with values of various attribute types. The tunnel devices initiate communication with the tunnel bank server, and stays connected to it, for allowing a communication session initiated by the tunnel bank server. Upon receiving a request from a client to a content and for specific attribute types and values, a tunnel is selected by the tunnel bank server, and is used as a tunnel for retrieving the required content from the web server, using standard protocol such as SOCKS, WebSocket or HTTP Proxy. The client only communicates with a super proxy server that manages the content fetching scheme.

The invention relates to the technical field of geological informatization, in particular to a time-space sequence prediction and risk assessment model for geological disaster monitoring data, which comprises a data acquisition module, an edge processing module, a cloud analysis module, a mobile terminal module and a data processing module, the server is connected with the cloud analysis module through a WebSocket protocol, and is used for receiving the prediction result and the visual data; and displaying the three-dimensional illness state evolution graph on augmented reality (AR) equipment. Through the innovative technical scheme, comprehensive breakthrough is achieved in the aspects of multi-modal data fusion, dynamic feature extraction, accurate prediction, robustness design, visual display and the like. The innovation points cooperate with one another and promote one another, and an efficient, reliable and intelligent MS remote monitoring and prognosis prediction system is jointly constructed.

A method for fetching a content from a web server to a client device is disclosed, using tunnel devices serving as intermediate devices. The tunnel device is selected based on an attribute, such as IP Geolocation. A tunnel bank server stores a list of available tunnels that may be used, associated with values of various attribute types. The tunnel devices initiate communication with the tunnel bank server, and stays connected to it, for allowing a communication session initiated by the tunnel bank server. Upon receiving a request from a client to a content and for specific attribute types and values, a tunnel is selected by the tunnel bank server, and is used as a tunnel for retrieving the required content from the web server, using standard protocol such as SOCKS, WebSocket or HTTP Proxy. The client only communicates with a super proxy server that manages the content fetching scheme.

The invention provides a conflict resolution method and system for realizing multi-person collaborative editing based on WebSocket and JSON-PATCH, and relates to the technical field of I T and software development, the method comprises the following steps: obtaining an editing operation of a user at a client of a low-code platform, and converting the editing operation into operation information in a JSON format; the method comprises the following steps: receiving operation information in a JSON format sent by a plurality of clients through a WebSocket server; storing the received operation information in the JSON format in a database according to a user account; based on the operation type defined by the JSON-PATCH, conflict detection is carried out on the concurrent operation of the multiple users; according to a preset priority rule, carrying out merging processing on the detected conflict operations; a result obtained after combination processing is broadcasted to all the clients through a WebSocket server; and the client receives the broadcast combination result and updates the low-code platform interface. According to the method, the user operation is formatted by using the JSON-PATCH, so that operation conversion is realized to solve conflicts.

The invention relates to the technical field of network operation and maintenance, in particular to an automatic operation and maintenance method and system based on artificial intelligence, and the method comprises the steps: collecting detailed log information containing a security event in real time through a security information and event management system configured at a target endpoint; performing cleaning, labeling and structured processing on the log data by utilizing a proxy artificial intelligence system to generate standardized metadata, and performing MITRE ATTamp with the standardized metadata; mapping the CK knowledge base, identifying technical features and behavior patterns of attacks, comparing enriched log data with an external threat intelligence source, analyzing TTP of a known attack group, generating a threat intelligence association report, generating a targeted response plan by using a large language model, generating an executable command sequence according to the response plan, and generating a threat intelligence association report; the proxy executor is connected with the server through a WebSocket protocol, executes a command in a POSIX shell environment, captures and returns an execution result, verifies the execution result, carries out necessary command optimization, records an optimized response to a vector database, and automatically matches a historical event and triggers a predefined response process through a vector retrieval mechanism. And continuous threat monitoring and adaptive response are realized. According to the method, the problem that a closed loop aiming at a terminal executor, data enrichment and historical event recall cannot be formed by security operation and maintenance in the prior art can be solved.

The invention discloses a whole-process collaborative production logistics management optimization system and method. The core of the system is intelligent inquiry and blockchain cost management. The inquiry module fuses a dynamic weight algorithm and a machine learning model, intelligently screens goods opportunities, pushes an AES encrypted inquiry sheet, and optimizes a quotation scheme in a multi-objective manner. And the delivery module is in butt joint with the ERP through the OData API, automatically analyzes the order, generates a delivery order, integrates weighing data for fee calculation, and carries out early warning on an abnormal order. And the customs declaration module identifies invoice information through OCR, automatically extracts customs declaration fields, verifies compliance through API, and generates a standardized customs declaration. The in-transit tracking module integrates a multi-platform API, pulls a logistics state in real time, pushes the logistics state to a client through WebSocket, and transparentizes an order state. The cost management module constructs a distributed account book based on a PBFT consensus mechanism block chain, ensures that cost information is safe and credible, and supports multi-currency settlement and dispute arbitration. The system comprehensively optimizes the production logistics link, realizes full-process collaboration, improves the efficiency, reduces the cost, and enhances the enterprise competitiveness.

The invention provides a streaming communication method and device based on long connection and computer equipment, and the method comprises the steps: building SSE long connection between a server and a large model when the server is started; a WebSocket long connection is established between the client side and the server side; the client sends a user dialogue text with the large model input by a user to the server through WebSocket long connection; the server receives a user dialogue text of the client, processes the user dialogue text, generates a corresponding data request, and sends the data request to the large model through SSE long connection; the large model receives the data request, processes the data request, and transmits model output information back to the server through SSE long connection; and the server receives the model output information, processes the model output information, generates a corresponding response message, and sends the response message to the client through the WebSocket long connection. The method has the beneficial effect that the communication efficiency and real-time performance between the client and the large model are improved.

The invention relates to the technical field of Web front-end development, and discloses a front-end intelligent menu caching and dynamic authority control method. The method comprises the following steps: firstly, checking whether menu cache data in a local storage of a browser exists and is valid, if so, directly using the cache data, otherwise, obtaining latest menu data from a server and caching according to a preset strategy; the menu data change state of the server side is monitored in a timed polling or WebSocket mode, and the local cache is updated in time when the data change; acquiring role permission information of the current user, matching the role permission information with the menu data, and dynamically generating an accessible menu tree; when routing jump is carried out, the type of a target address is intelligently judged, permission verification is carried out on an internal routing address, and it is ensured that a user can only access pages within the authorization range of the user. According to the application, the server request frequency is reduced, the response speed of the front-end application is improved, and meanwhile, the real-time performance of the menu data and the access security are ensured.

The invention discloses a visual detection system for longitudinal tearing of a conveying belt, relates to the technical field of image recognition, and optimizes the problems of insufficient anti-interference capability, detection precision, false alarm rate and insufficient system integration and expansibility of the visual detection system for the conveying belt. Dust concentration, muddy water attachment and illumination conditions are monitored in real time, and a window structure and a cleaning device are dynamically adjusted by using a logical judgment algorithm, so that environmental interference is effectively reduced, image acquisition quality is improved, and definition of 3D image data is ensured; a multi-detection mechanism and a secondary confirmation strategy are introduced, a deep learning model is utilized to fuse historical data to construct a time sequence model, a tear prediction result is optimized through an attention mechanism, a tear risk assessment index Tlzs is finally generated, the detection precision is improved, and the false alarm rate is reduced. TCP / IP, Modbus Tcp and webSocket protocols are supported, data formats are converted in a unified mode and displayed visually, and centralized management of multiple devices is achieved.

The invention relates to the technical field of shopping, and discloses a map shopping method based on AI voice interaction. Through deep fusion of AI voice interaction and a map visualization technology, the user experience and the operation efficiency of a geographic shopping scene are remarkably improved. According to the method, a real-time association system of the map POI and the commodity inventory is constructed, multi-modal interaction of voice instructions, dragging operation and cross-shop settlement is supported, and intelligent complementation of fuzzy instructions and dynamic distribution route optimization are realized by adopting BERT semantic understanding and a Q-learning path planning algorithm, so that the order response speed is improved, and the distribution distance is optimal; voiceprint DTW verification and Redis distributed inventory management are integrated, and real-time inventory scheduling in a 3-kilometer business district is realized while payment security is guaranteed; full-link state visual management is established through SSE push and WebSocket positioning technologies, and closed-loop experience of'search-purchase-payment-tracking 'is formed in combination with a thermodynamic layer recommendation system, so that operation is convenient.

The invention relates to the technical field of distributed response, in particular to a distributed message dynamic response method based on websocket. The method comprises the following steps: constructing a distributed message service cluster to configure a websocket communication module, message middleware and a client for each service node, and providing a unified service access point to the outside through an Nginx load balancer, so as to automatically register and subscribe a global control theme to the message middleware and form a hierarchical theme subscription structure; when the client initiates a connection request, the connection is distributed and a secure channel is established; the client sends a service request message, packages the service request message into a standardized message format, and associates session information of the client at the same time; and receiving the session message, performing intelligent filtering, generating a response result, and pushing the response result to the client in real time. According to the invention, efficient processing and real-time response of messages in a distributed environment can be realized.

The invention discloses an industrial equipment fault diagnosis expert online question answering system and method based on vector matching, a user inputs a question description at a client, the system locally or remotely converts the question description into a vector representation and matches the vector representation with a stored question standard description, a question item closest to the question description is determined, and a question item corresponding to the question description is determined; recommending an expert ID which is good at processing the closest problem item; the user sends a remote communication request to an expert corresponding to the recommended expert ID at the client; an expert receives the remote communication request at a client, and remote online communication is established based on websocket and webRTC technologies; the invention aims to provide efficient, accurate and convenient fault diagnosis service through an intelligent expert matching mechanism, a flexible communication mode and perfect record management, so that the overall performance and user experience of fault diagnosis of industrial equipment are improved.

The invention discloses a WebSocket-based instant message task assigning system. The system comprises two parts, i.e., a server and clients, wherein the server is deployed on an application server and configured with ports for providing external services, and the server is then started; the clients comprises an APP client and a PC client; and information data transmission among the server, the APP client and the PC client is achieved based on the WebSocket protocol, that is, the server provides the instant messaging service, and the clients achieve acquisition of data from the server. Compared with the prior art, the system provided by the invention has the advantages that WebSocket-based instant message task assigning is achieved, and information can be synchronized between the information acquisition clients, so that high timeliness, effectiveness and safety of the information are ensured.

The invention discloses an intelligent monitoring system for the running state of a water turbine. The intelligent monitoring system comprises a data acquisition module, a real-time data pushing module, a data storage module, a state evaluation module and a man-machine interaction module. The data acquisition module is used for acquiring vibration, throw, pressure pulsation and key phase information by using various sensors; the real-time data pushing module is used for distinguishing data types and pushing the data through WebSocket and HTTP protocols; the data storage module adopts a Redis and MySQL double-layer framework; the state evaluation module constructs an evaluation index system, determines a weight by using an entropy weight method and an improved analytic hierarchy process, and determines an operation state through deterioration degree analysis and fuzzy comprehensive evaluation; the man-machine interaction module displays monitoring data and evaluation results, provides a real-time monitoring, data query and state evaluation interface, has the advantages of being fast in data updating, convenient to query, visual in display and the like, can comprehensively monitor the operation state of the water turbine, and provides powerful guarantee for safe and efficient operation of a hydropower station.

The invention relates to a base station communication method and system based on a Websocket protocol, an electronic device and a storage medium, and is applied to the field of wireless communication.The base station communication method based on the Websocket protocol comprises the steps that in response to a base station service process data request sent by a client side based on a browser, in a single communication thread corresponding to each client side, a single communication thread corresponding to each client side is obtained; sending a request for establishing a second heartbeat detection connection to the independent service process end; and the client is used for establishing a first heartbeat detection long connection with the server based on a Websocket protocol. And receiving base station service process data sent by the independent service process end under the condition that a second heartbeat detection long connection is established with the independent service process end based on a Websocket protocol. And forwarding the received base station service process data to the client based on the browser. According to the invention, the real-time performance and stability of base station communication are improved.

The invention relates to the field of forestry monitoring data processing, in particular to a forestry pest and disease damage intelligent monitoring system and method based on unmanned aerial vehicle inspection, and the system comprises a data interaction unit which is used for building a real-time communication channel between an unmanned aerial vehicle and a server through employing a WebSocket protocol; the multi-scale feature extraction unit is used for constructing a three-stage pyramid convolution structure, and respectively extracting microscopic, medium and macroscopic scale features of the blade through convolution kernels of different specifications and cavity convolution; the time sequence parameter adjusting unit is used for fusing Transform and GRU, analyzing a feature map through a multi-head self-attention mechanism, learning a tree phenological law through the GRU, performing condition normalization adjustment on convolutional layer parameters based on the tree phenological law, and distinguishing physiological and disease features; and the decision fusion unit is used for splicing and fusing the composite feature map and the time sequence feature vector, carrying out parallel processing on an SVM and a Softmax classifier, and outputting a disease and pest recognition conclusion according to a dynamic threshold decision.

The invention provides a large model security access system and method. The method comprises the following steps: receiving a dialogue request sent by a security client through WebSocket connection and executing security detection; if the security detection is passed, forwarding the dialogue request to an API interface of a target large model service requested by the security client; and receiving response content returned by the target large model service, performing security processing on the response content, and sending the response content subjected to the security processing to the security client. In the method, on one hand, the gateway transmits data through encrypted WebSocket connection to ensure the security of the data transmission and processing process and avoid the risk of data leakage, and on the other hand, the gateway performs security detection and processing on the request and response according to the security policy issued by the security management platform to prevent the leakage of malicious prompt words and sensitive information and the generation of harmful content. And the content is ensured to meet safety and compliance requirements.

The invention discloses a secret key issuing method, system and device, a storage medium and a program product, and relates to the technical field of information security, and the method comprises the steps: transmitting a verification public key certificate and a signature to a server through a WebSocket protocol at a client; receiving and verifying a first signature verification result returned by the server to obtain a second signature verification result; signing the random number in the second signature verification result to obtain a first signature value; and sending the first signature value and the random number to the server. After receiving the first signature value and the random number, the server generates a master key and a verification value, and issues the encrypted master key and verification value to the client; and the client decrypts and stores the master key. According to the scheme, bidirectional authentication is realized through an authentication mechanism of a public key certificate, and the credibility of both parties is ensured. And the random number is subjected to signature verification and signature, so that the replay attack is effectively prevented. In the secret key issuing process, the encryption certificate is used for encrypting the equipment information, the safety of the main secret key is ensured, and good expansibility is achieved.

The invention relates to a group type enterprise business opportunity conflict detection and cooperative processing system based on a dynamic rule engine and semantic analysis. The rear end of the system adopts a Python Flask framework to construct micro-service, and the front end adopts a response type design; the rear end further comprises a business opportunity admission management module and a cooperative processing module which are arranged on an application layer; the business opportunity admission management module comprises a standardized business opportunity establishment application form, a business opportunity conflict identification model and a business opportunity closing application form; the business opportunity conflict identification model adopts a dynamic rule engine and a weighted matching strategy to carry out weighted processing on structured fields, unstructured texts and industry-specific word libraries; performing accurate matching on the hard indexes, and calculating the similarity of business opportunity names by adopting cosine similarity on the flexible indexes; the semantic feature extraction layer for storing the industry-specific lexicon uses TF-IDF weighted word vectors to enhance the industry-specific lexicon; the cooperative processing mechanism integrates a WebSocket technology, pushes weighted messages in real time, carries out business opportunity tracking, and pushes the weighted messages to a business opportunity closing application form to carry out business opportunity closing.

The invention provides a multi-modal medical image real-time labeling and collaborative browsing method and device based on adaptive DeepZoom and a readable storage medium thereof. A multi-resolution pyramid is constructed, a medical image is downsampled into multiple resolution levels layer by layer, each layer is divided into standard size blocks, dynamic loading is carried out based on a window, and cache management is carried out through an LRU algorithm. The problems of loading lagging and memory overflow of the GB-level image are solved; real-time synchronization of multi-user labeling operation is achieved through a WebSocket protocol, a three-level semantic label system containing lesion areas, cell types and tissue grading is supported, labeling conflicts are solved in combination with a timestamp priority strategy, and version backtracking is supported; a medical compliance log system is designed, information such as cases is recorded, and the whole operation process can be traced through synchronization of local Sqlite cache and cloud HIPAA encryption. According to the method, the medical image browsing efficiency and the labeling collaboration are remarkably improved, and the medical data compliance requirement is met.

The invention provides an intelligent speech recognition editor capable of efficiently processing large-scale texts. Belongs to the technical field of speech recognition and text editing. The editor comprises a voice recognition module which is used for receiving audio input, converting the audio input into a text and transmitting the text to a front end in real time through WebSocket / SSE; the text editing module is used for rendering and editing a text through a WebAssembly + virtualization technology; the data storage module is used for carrying out text caching by using IndexedDB / Local Storage; and the front-end UI interaction module is used for carrying out task distribution by adopting React / Vue in combination with WebWorker. According to the method, only the currently visible text area is rendered by adopting a block rendering technology and a virtualization technology, and the historical text is loaded as required in a lazy loading mode, so that the processing of million-level characters can be easily supported, and smooth operation and no blockage of an editor are ensured.

The invention relates to a method for automatically positioning the position of a code in an editor by clicking a page dom element, in particular to the field of browsers and editors, a client automatically positions the position of the code in the editor by clicking a page DOM element, a global click event monitor is set by utilizing addEventListener, and the editor can automatically position the position of the code in the editor by clicking the page DOM element. The transmitted position information is analyzed through an Express framework, a monitoring request is processed, a developer can locate the corresponding code position more quickly and accurately, the code browsing and editing efficiency is improved, a server initializes a new folder of a Node.js project in a command line, the EXpress framework is installed, and the code browsing and editing efficiency is improved. The method comprises the following steps: starting a server side through a command line and receiving DOM element position information sent by a front end, executing a system command by using a Child-process module of Node.js, creating a WebSocket in a client side code to be connected to an address specified by the server side, installing a WebSocket library in the server side, creating a WebSocket server in the server side code, and connecting the WebSocket library with the WebSocket server. Real-time communication connection based on WebSocket is established between the server and the client, so that the stability and reliability of the system are improved.

The invention relates to a real-time hybrid test control and test system and method based on a Linux-RT system and application, and belongs to the technical field of real-time hybrid tests of structural engineering. Comprising the following steps of: realizing deterministic conversion of states by adopting a real-time system manager of a singleton mode and an atomic state variable; according to the real-time executor based on the SCHEDFIFO scheduling strategy, affinity binding of a high-priority thread and a CPU is set, and periodic task scheduling of microsecond-level precision is achieved; a lambda functional programming data processing pipeline is adopted, and efficient data transmission of a filter chain is achieved through a zero copy mechanism; multi-protocol communication interfaces of UDP (User Datagram Protocol), EtherCAT (Ethernet Control Automation Technology) and WebSocket are supported, and a uniform abstraction layer is provided to realize low-delay data exchange between a numerical value and a physical substructure; and a real-time performance monitoring module adopting an exponential moving average algorithm provides accurate statistics of execution time and jitter.

The invention discloses a multi-bank bank-enterprise direct connection data exchange system, which adopts a modularized and plug-in architecture, and comprises a client, which is used for sending an instruction through a front-end processor, an SDK (Software Development Kit) and an integrated UI (User Interface) control, supporting dynamic loading of a bank plug-in and a basic plug-in, and binding a unique equipment identifier through an authorization file; the bank server is in communication connection with the client and comprises a security gateway, a transaction platform and a multi-bank exchange center; the security gateway is used for authority verification, decryption signature verification, flow control and CFCA certificate signature verification so as to establish a secure data exchange channel; the transaction platform coordinates all banking business interfaces, and coordinates routing and execution of instructions sent by the client; the multi-bank switching center dynamically distributes the client to be connected with the WebSocket of the bank server through a dynamic load balancing strategy; and the management control module is used for remotely configuring client side parameters and bank interface strategies, supporting full-life-cycle management of system plug-ins and monitoring the states of the client side and the bank server side.

The invention discloses a video information processing method, and relates to video transmission, and the method comprises the steps: obtaining a video stream of a video conference participant, and obtaining auxiliary information from a video conference system; dividing the auxiliary information into control type information and content type information; establishing a first transmission channel independent of a video stream for the control type information through a WebSocket or QUIC protocol; establishing a second transmission channel associated with the video stream for the content information through an SEI mechanism or an RTCP channel of the video encoder; respectively transmitting the control type information and the content type information according to the first transmission channel and the second transmission channel, and adding a serial number and a timestamp to the transmitted information; and receiving the auxiliary information at a receiving end, and performing timestamp alignment and synchronization processing on the auxiliary information and the video stream according to the serial number and the timestamp to generate a synchronous data structure. Aiming at low transmission reliability of the auxiliary information under the condition that the network condition is unstable, the application improves the transmission reliability of the auxiliary information under the condition that the network is unstable.

The invention discloses an integrated remote teaching assistance and management system for an education scene, belongs to the field of education informatization, and solves the problems that a traditional education system is split in function, tedious in process, high in safety risk and the like. The system integrates three modules: 1) remote call broadcast: supporting home / school / student real-time broadcast notification (including accessory poison check); 2) remote examination and approval: processing and configuring a multi-level examination and approval process, performing state synchronization and preventing tampering of block chain evidence storage; and 3) auxiliary teaching: supporting functions of courseware uploading, homework arrangement, statistics and the like. The data is stored in a relational database (such as MySQL), and the full-life-cycle security of the data is guaranteed through multi-factor authentication, RBAC permission control, high-strength encryption and block chain evidence storage. The beneficial effects are that function integration improves efficiency; security is enhanced through multi-factor authentication and the block chain; an approval specification process can be configured; visual report auxiliary decision making; a high-availability technology (such as WebSocket heartbeat) is guaranteed to be stable, and a whole-process digital and safe teaching management scheme is provided for schools.

A WEB end real-time remote connection monitoring method based on an RDP protocol comprises the following steps that a gateway server is maintained between an RDP client and a server, a firewall is configured, a routing rule is added, and RDP flow is forwarded to a local loopback address; the rear end of the gateway server starts an RDP proxy service, receives the RDP traffic forwarded by the firewall, and creates an independent thread to run a Flask application; after the RDP proxy service receives the RDP data packet, an RDP protocol data unit is analyzed according to a protocol format; establishing connection between the RDP proxy service and the Web front end through WebSocket, defining a corresponding event according to the analyzed PDU data type, and transmitting the event to the Web browser end in real time; and the Web end creates a bitmap cache and canvas cache canvas, and displays a remote picture and key data connected with the RDP on a Web page in real time. The scheme not only can effectively monitor the remote desktop session, but also has the advantages of high bandwidth utilization rate, low resource consumption, convenience in cross-platform deployment and the like.