569 results about "VIA protocol" patented technology

The embodiment of the invention discloses a multi-agent task collaboration method and device and a medium, and the method is characterized in that the method comprises the steps: registering functions corresponding to all agents to a dynamic service directory through an MCP protocol; disassembling the to-be-executed task to obtain a plurality of to-be-executed sub-tasks, matching each to-be-executed sub-task with the capability range of each agent in the dynamic service directory, and establishing a communication channel between each to-be-executed sub-task and the corresponding agent; performing dynamic routing distribution on the to-be-executed sub-tasks through the cooperative bus, and selecting an optimal execution node according to the real-time requirements of the sub-tasks and the node load state of each corresponding agent; according to a subtask dependency relationship defined by a directed acyclic graph, determining an execution mode of each subtask to be executed; and executing each to-be-executed sub-task at the optimal execution node based on the communication channel and the execution mode of each to-be-executed sub-task.

The invention discloses an integrated verification and test system and method for complex rules of a substation monitoring system, and the system comprises a rule editing module which provides a visual interface to support a user to edit the complex rules containing various types of variables and time sequence constraints; the analysis and verification module is used for performing grammar, variable conflict and business compliance multi-level verification on the rules; the intelligent test case generation module is used for automatically generating test cases covering normal, boundary and abnormal conditions based on the rule tree structure; the simulation test interface module converts the use case into a standard test script, submits the standard test script to a simulation tool for execution, and outputs the standard test script to a monitoring system through protocol conversion; the result analysis module is used for comparing an execution result with an expected result and generating a structured test report; according to the invention, full-process automation of rule verification and testing is realized, the verification efficiency is remarkably improved, and the test requirements of various transformer substation business scenes are met.

The embodiment of the invention provides a code exception analysis method and device, a storage medium and a program product. In the embodiment of the invention, in the preset plug-in, the global knowledge graph is constructed through the logic syntax tree of the plurality of original business codes, so that intelligent anomaly analysis is carried out on the modified to-be-detected codes, multi-language and heterogeneous programming styles and complex dependency limitation are broken through, and cross-language and cross-file analysis is supported; change code snippets and associated influence code snippets thereof are accurately identified, and a data basis is tamped and analyzed; the analysis depth is deepened and the accuracy is improved through a multi-dimensional anomaly analysis large model and four-dimensional collaborative analysis in combination with an adaptive review rule and a knowledge graph; and finally, performing correction based on the generated repair scheme. Through the technical fusion of an MCP protocol, a multi-AI model, a syntax tree and a knowledge graph, the high efficiency, accuracy and real-time performance of code examination and repair are realized, and the service development quality and the system operation stability are remarkably improved.

The invention discloses an intelligent crawler generation method and system based on a large language model and an MCP protocol, belongs to the technical field of network data collection, and solves the problem that the capability of LLM in dynamic webpage analysis and anti-crawling strategy generation links cannot be fully exerted due to the fact that LLM and browser interaction protocols cannot be effectively integrated in the prior art. The method comprises the steps of analyzing an acquisition demand based on a large language model and generating a standardized demand description document, realizing interaction between the large language model and a browser based on an MCP protocol, analyzing a page complete DOM tree structure through a crawler script generation system, and performing quality verification and intelligent repair on a generated crawler script. According to the method, the complete DOM tree and the dynamic data rendered by the browser are obtained through the MCP, and the large language model can be called to automatically analyze the element positioning strategy, so that the collection script is adaptively generated, and high efficiency, intelligence and automation of webpage data collection are ensured.

The invention provides an Internet of Vehicles data processing method and system. The method comprises the following steps: determining a protocol type of a protocol message through a protocol parser and calling a matched parsing rule to parse the protocol message; judging whether a target processing logic rule exists or not through a semantic mapping engine according to the combined protocol information corresponding to the protocol message; if not, querying and reading a first mapping configuration file matched with the combined protocol information from a configuration file library, constructing a target processing logic rule based on configuration data of the first mapping configuration file, and processing the analyzed protocol message into target Internet of Vehicles data according to the target processing logic rule; if so, directly processing according to the target processing logic rule to obtain target Internet of Vehicles data; and generating an Internet of Vehicles unified data model object according to the target structure and the target Internet of Vehicles data through an object generator, and sending the Internet of Vehicles unified data model object to a service system. According to the method and the device, the thorough decoupling of the upper layer service and the bottom layer protocol is realized, the overall maintainability and expansibility are improved, and the data processing efficiency is improved.

The invention relates to the technical field of communication data security, and discloses a mimicry encryption method and system for communication data transmission. The method comprises the following steps: synchronizing a high-precision timestamp through an NTP protocol and generating a standardized environment parameter; temperature, voltage and signal strength indexes are extracted based on the environmental parameters, entropy hybrid calculation and dynamic splicing coding are carried out, and a dynamic encryption key is generated; performing multi-layer mimicry permutation and diffusion confusion on plaintext data after the plaintext data is partitioned by using the key to generate a final ciphertext; performing protocol encapsulation and transmission optimization on the ciphertext; and the receiving end realizes decryption through de-encapsulation and inverse mimicry transformation, and dynamically adjusts the key in combination with environmental parameter feedback. According to the method, key dynamics is enhanced through environment randomness, multi-layer encryption and integrity verification are combined, the anti-attack ability and safety of data transmission are remarkably improved, and the method is suitable for communication scenes with high real-time performance requirements.

The invention provides a three-dimensional graphic engine natural language interaction method and system based on an MCP and an AI Agent, and relates to the technical field of intelligent control, and the method comprises the steps: autonomously judging an MCP tool set needing to be called according to the analyzed intention and scene demands, and planning the precedence logic and cooperation mode of tool calling; converting the structured semantic information and the tool calling plan into a unified semantic data packet through an MCP protocol to form a cross-tool collaborative MCP instruction; based on an MCP instruction, the adapter module performs adaptation conversion according to API characteristics of a target three-dimensional engine, a corresponding interface is called to execute object operation in a three-dimensional scene, the AI Agent can automatically correct a subsequent instruction or tool calling strategy based on feedback, and closed-loop intelligent interaction is achieved. According to the invention, the interaction barrier between the natural language and the three-dimensional graphic engine is broken, so that the user can conveniently and intelligently control the three-dimensional object, the scene view angle and the dynamic effect directly through the natural language, and the interaction efficiency and flexibility are remarkably improved.

The invention provides a switch security protocol interaction method and device, equipment and a storage medium, and the method comprises the steps: carrying out the protocol type recognition of a received network data frame, and generating first intermediate data according to the recognized protocol type; according to the protocol type identifier of the first intermediate data, converting the format of the network data frame through a protocol mapping rule to generate second intermediate data; determining a security processing strategy corresponding to a preset strategy rule set according to the strategy identification field of the second intermediate data; reconstructing the original content of the second intermediate data into a target data frame conforming to a target protocol format according to a security processing strategy; and according to the security level field and the communication direction of the target data frame, performing path screening through the trusted path list, and determining a target interaction path. According to the scheme, the trusted interaction path can be dynamically screened based on the protocol type and the security level field of the target data frame, and controllable data transmission between switches under security protocol cooperation is realized.

The invention discloses a distributed database built-in monitoring system, belongs to the technical field of databases, and aims to solve the technical problem of how to overcome the defects of complex monitoring deployment, high data response delay, coarse information acquisition granularity and low system integration in the prior art. According to the technical scheme, a monitoring platform module is integrated with a database kernel, a front-end and rear-end separation framework is adopted, and visual display and centralized management and control of the database operation state are achieved; the data acquisition module is used for simultaneously starting with a database process through a built-in HTTP (Hyper Text Transport Protocol) server to realize native support of a monitoring function; the distributed state query module is used for discovering cluster node states through a Gossip protocol, supporting node health detection and remote calling state service, and supporting gRPC-based streaming communication and concurrent processing; and the time sequence data management module is used for storing, compressing and querying the collected time sequence monitoring data.

The invention relates to the technical field of education management, in particular to an information management method and system for family-school joint communication, and the method comprises the steps: an information transmitting end selects a target communication protocol from preset communication protocols according to the attribute parameters of to-be-transmitted family-school information; and processing the to-be-transmitted home-school information into a plurality of transmission data blocks based on the target communication protocol, and transmitting the transmission data blocks to an information receiving end. The information receiving end carries out aggregation processing on the transmission data blocks according to the metadata labels on the accessed transmission data blocks, and an aggregation information packet matched with identity authentication of the information receiving end is generated; according to the method and the device, evidence storage is performed on the preset block chain node according to the hash value corresponding to the aggregation information packet, the communication voucher is generated according to the evidence storage result, and the limitations of the existing static scheme in the aspects of efficiency, security and adaptability are overcome through the synergistic effect of protocol optimization, intelligent aggregation and credible evidence storage.

The invention provides an edge gateway computing power sharing method based on an MQTT protocol. An edge terminal sends a computing power request to an edge gateway through the MQTT protocol, wherein the computing power request comprises a computing task type identifier and a priority identifier; after receiving the computing power request, the edge gateway dynamically schedules heterogeneous computing resources of a built-in neural network processing unit (NPU) and a built-in central processing unit (CPU) according to a computing task type identifier and a priority identifier; and the edge gateway executes a corresponding calculation task by using the scheduled calculation resource, feeds back a processing result to the edge terminal initiating the request through an MQTT protocol, and synchronizes own calculation power state information.

The invention discloses a collaborative data processing method and system based on source-network-load-storage integration. The collaborative data processing method and system are used for data acquisition, processing and optimal scheduling of multi-source heterogeneous equipment. The method comprises the following steps: registering a power generation side device, an energy storage side device, a power distribution network device and a load side device, obtaining self-description information, automatically identifying a communication protocol and loading a corresponding drive; a standardized data stream is generated through protocol conversion and semantic mapping, edge nodes execute real-time feature extraction and preliminary calculation, and a cloud platform performs global state estimation, prediction analysis and optimization scheduling; establishing a time delay monitoring and task priority mechanism to realize edge and cloud dynamic collaboration; performing quality evaluation and anomaly repair on the transmission data to generate a high-quality data set; a probability distribution model is established based on data, an uncertainty weight is calculated, feature fusion and weighted dimension reduction are performed through a collaborative data processing engine, a weighted confidence matrix is formed and input into optimal scheduling, system robustness is enhanced, and the method is suitable for a power system with a high new energy proportion and large load fluctuation.

The invention discloses a vehicle diagnosis service method and system based on dynamic protocol adaptation and context awareness, and the method comprises the steps: analyzing a diagnosis request, and determining a service range and a dependency relationship required by the diagnosis request; obtaining multi-dimensional context information, and based on the obtained information and the dependency relationship, executing a routing decision to select an optimal service instance and a protocol path; dynamically calling a protocol adapter through a protocol adaptation matrix based on the service instance and the protocol path, converting the diagnosis request into a protocol message, and sending the protocol message to a vehicle network; and receiving the original diagnosis data returned by the vehicle network to generate a complete diagnosis report. According to the method, flexible calling of the protocol adapter is realized through the dynamic protocol adaptation matrix, the service range and the dependency relationship are analyzed in combination with the service governance engine, and the routing decision is optimized by utilizing the multi-dimensional context information, so that the method has the advantages of dynamic and flexible protocol adaptation, accurate and intelligent service analysis and global optimization of the routing decision.

The invention relates to the technical field of intelligent interface generation, in particular to an interactive interface generation method and system, computer equipment and a medium. The method comprises the following steps: receiving a multi-protocol interaction request, and extracting natural language context information carried in the multi-protocol interaction request through a protocol processing layer; according to the natural language context information, executing cue word processing to generate interface generation trigger judgment; when the interface generation trigger judgment indicates that an interface needs to be generated, generating an interface mode definition instance based on the natural language context information and a preset cue word template; and according to the interface mode definition instance, generating an interactive interface through a rendering output device. In this way, the technical problem that in an existing interface generation technology based on natural languages, it is difficult to collaboratively optimize the interface dynamic adaptation capacity and the system expansibility is solved, and the intelligent level, cross-platform compatibility and service response agility of interface generation are improved.

The invention provides an industrial internet network intrusion detection method based on a pre-trained large language model, and the method comprises the steps: carrying out the data preprocessing of original network flow data through protocol self-adaptive flow aggregation and session segmentation, feature screening and feature coding; constructing a stream format text data set used for training a generation model GPT-2 and a packet level classification text-label data set used for training a classification model DistilBERT; then fine tuning training is carried out on the generation model GPT-2 and the classification model DistilBERT; then calling a trained generation model GPT-2 to generate a traffic sequence, obtaining a prediction data packet, calling a trained classification model DistilBERT, performing anomaly judgment on sequence data in the prediction data packet one by one, and outputting a classification result of anomaly judgment; the active intrusion detection of first generation and then discrimination is realized. According to the method, prediction can be made before real attack traffic arrives, and network attacks are prevented.

The invention discloses a multi-protocol dynamic adaptation and session management method based on TCP / IP (Transmission Control Protocol / Internet Protocol), and belongs to the technical field of computer network communication. Comprising the following steps: S1, receiving TCP / IP connection from a client, and identifying a specific application layer protocol type through a protocol feature code; s2, dynamically loading an adapter of a corresponding protocol based on the protocol type identified in the S1, decoding original data into a unified intermediate format, and realizing protocol-independent data processing; s3, on the basis of decoding in the S2, different protocols are connected and bound to the same session object based on the device identifier, and cross-protocol sharing of the authentication state and the context is achieved; and S4, monitoring a network quality index based on the session binding in the S3, and dynamically allocating a high-priority service to the optimal protocol channel. According to the method, the problems of poor multi-protocol compatibility, isolated session management, unreasonable network resource allocation and the like are solved, and the flexibility, the reliability and the resource utilization rate of the system are remarkably improved.

Disclosed are a method and device for installing a certificate on the basis of encryption and decryption of a contract certificate private key for an electric vehicle communication controller. The method for installing the certificate comprises: a step in which the electric vehicle communication controller transmits, to a secondary actor, a certificate installation request message signed with a private key associated with a manufacturer's provisioning certificate; and a step of receiving, from the secondary actor, a certificate installation response message signed with a private key associated with a leaf certificate of a certificate provisioning service, wherein an encrypted private key element of the certificate installation response message stores a private key belonging to a new contract certificate which is encrypted for the electric vehicle communication controller without a trust platform module, the private key belonging to the new contract certificate is encrypted with AES-GCM-256 on the basis of an encryption key which is entered from a public key of the manufacturer's provisioning certificate and generated through an ECDH protocol, and the private key encrypted with the AES-GCM-256 is included in a ciphertext at 528-bits or 448-bits after an initial initialization vector of a contract certificate data packet.

The invention relates to the technical field of tax data interaction, and discloses a multi-interface data interaction method and system for a tax system. The method comprises the following steps: dynamically accessing a multi-source heterogeneous tax data interface, wherein the multi-source heterogeneous tax data interface at least comprises an HTTP protocol interface, a message queue interface and a block chain node interface; uniformly decoding the original tax messages through a protocol adaptation layer to generate a standard middleware data format; calling a semantic mapping engine to execute field-level business alignment on the standard middleware data format, and outputting a semantic verification result meeting the tax industry standard; carrying out encryption channel selection on the semantic verification result based on a secure routing strategy, and generating a cross-domain transmission instruction; and triggering a real-time synchronization component to execute data distribution according to the cross-domain transmission instruction, and activating a transaction rollback operation when synchronization is abnormal. According to the method, the flexibility, accuracy and safety of tax data interaction can be improved.

The invention belongs to the technical field of industrial Internet of Things data processing, and particularly discloses a data protocol conversion method and system based on the industrial Internet of Things, and the method comprises the steps: extracting a feature vector through a protocol feature recognition model according to an original data stream of target equipment, and obtaining a matching result of a dynamic protocol fingerprint database; according to a matching result of the dynamic protocol fingerprint database, judging whether a protocol learning mode is triggered to obtain a newly added fingerprint and an analysis rule; according to the analyzed structured source data and the domain ontology library, semantic annotation is carried out through a semantic understanding engine, and semantic data with physical quantity tags are obtained; and according to the real-time resource state parameters, a conversion strategy is dynamically selected, an unloading point is decided and calculated, and a lightweight and full-amount depth conversion instruction is obtained. The invention aims to solve the problem of low protocol conversion efficiency caused by protocol isomerism, semantic difference and resource constraint in the industrial Internet of Things in the prior art.

The invention relates to the technical field of communication, in particular to a method and system for being compatible with multiple data models on a CPE router, and the method comprises the following steps: identifying data source features of different manufacturers or standards, mapping each data source to a corresponding known data model type, and establishing an initial classification index; dynamically loading an adaptive data model resolver based on an identification result, and confirming the compatibility of the resolver and a data source version through a version verification mechanism to ensure that an analysis environment is ready; original data fields are mapped to a unified data structure, missing values and abnormal values are processed through a data cleaning algorithm to improve data quality, and standardized data objects are formed; analyzing the request type of the external system, and converting the standardized data into a communication protocol format supported by the external system through the protocol conversion middleware to realize protocol adaptation; and packaging the processing result data according to the unified response template, and adding an operation state identifier.

The invention relates to the technical field of intelligent traffic equipment management, in particular to a signal equipment health state monitoring method and system, and the method comprises the steps: receiving operation, external field sensing and communication link data of signal equipment through a protocol conversion interface, converting the data into a unified format, and storing the data in a data medium; after abnormal value filtering and missing value completion, operation characteristic parameters are extracted, a layered health degree evaluation model is constructed, equipment-level, intersection-level and trunk-level health degrees are calculated in sequence, and early warning is triggered if the health degrees are lower than a preset threshold value; constructing a device-link-scene association map, positioning a fault type and a fault source in combination with a fault feature matching algorithm, and analyzing a fault influence range; and according to the fault influence range, the device priority and the operation and maintenance resource real-time state, generating an operation and maintenance work order and a resource scheduling suggestion, and pushing early warning information, a fault positioning result and a health degree report to an operation and maintenance terminal. Full-level health perception and operation and maintenance resource optimization can be realized, the fault handling period is shortened, and the traffic passing efficiency is guaranteed.

The invention discloses an AI component calling method and device, a medium and a computer program product, and relates to the technical field of container mirroring, the method comprises the following steps: when a first calling request sent by a large model application through a gateway is detected, determining a target AI component container instance corresponding to the first calling request, the AI component container instance is a container instance obtained after containerization packaging processing is carried out on an AI component capable of being deployed independently, and comprises a model file and a protocol adapter; performing format conversion on the first calling request through a protocol adapter in the target AI component container instance according to a preset protocol format to obtain a second calling request; calling a model corresponding to the model file according to the second calling request for task processing to obtain a processing result; and packaging the processing result into a response message through the protocol adapter according to a preset protocol format, and sending the response message to the large model application through the gateway. According to the method, the calling efficiency of calling each AI component by the large model application is improved.

The invention relates to the technical field of industrial automatic round hole welding, in particular to a template-based intelligent welding decision and path optimization method and system for tube plate round holes, the system comprises a CAD module, a file module, a template module and a function module, and all the modules realize data interaction through an internal data bus and communicate with external welding equipment through a Modbus TCP protocol; the method comprises the steps of (1) system initialization, (2) processing file importing, (3) template application, (4) path priority ranking, (5) user interaction modification, (6) data issuing and (7) processing state monitoring. According to the scheme, 3D scanning hardware is not needed, the problems that in the prior art, decision making efficiency is low, process consistency is poor, data modification is difficult, and cost is high can be solved, high-precision, high-efficiency and flexible tube plate round hole welding is achieved, cost is reduced, and welding seam quality consistency is improved.

The invention relates to the technical field of substation inspection and maintenance intellectualization, in particular to a substation inspection and maintenance multi-expert agent collaborative task generation method based on an Agent2Agent protocol, which comprises the following steps of: receiving a substation inspection and maintenance natural language instruction, analyzing the instruction into a task tree containing a root node and a leaf node based on the physical topology of a substation, and labeling a capability label; calculating the semantic similarity between the current task tree and the historical task, and multiplexing and finely adjusting a historical agent capability chain or calling a capability graph to form a current capability chain; the intelligent agent is controlled to execute subtasks according to a capability chain, detection equipment is deployed in combination with a point location type, the intelligent agent performs standardized interaction through an Agent2Agent protocol, and secondary scheduling is performed when a capability gap appears; and performing streaming processing on task data, completing incremental indexing, performing fine tuning on a correlation model, and endowing high-quality feedback data with an initial weight so as to realize continuous optimization. According to the invention, the generation efficiency and execution accuracy of the substation inspection and maintenance task are improved, and intelligent operation and maintenance requirements are met.

The invention relates to the technical field of calling in financial and medical scenes, and discloses a call center unified API implementation method, device and equipment and a storage medium, and the method comprises the steps: dividing the type of an API into a first type of interface developed based on the capability of a product and a second type of interface customized and developed by depending on a service system; the method comprises the following steps: receiving a calling request initiated by a heterogeneous service system through a protocol analysis engine, extracting a protocol feature identifier in the calling request to obtain a heterogeneous protocol, uniformly converting the heterogeneous protocol into a standard API protocol format according to a preset protocol conversion rule base, and analyzing the type of an API interface in the conversion process; and executing differentiated routing according to the type of the API interface. In the invention, aiming at the call center of financial and medical scenes, a core framework of a unified API (Application Program Interface) of the call center is constructed, and the interface standardization of a call center system is realized.

The invention provides a dynamic adaptation method and system for a multi-mode power supply compatible charging pile system, and the method comprises the steps: building a multi-protocol physical layer compatible connection between a charging pile and a power supply module through a multi-communication interface layer, and receiving a data frame inputted by the charging pile; analyzing a baud rate, a check bit and an instruction set of the data frame, and identifying a charging pile protocol type and a power module protocol type; querying a matching mapping relationship between the charging pile protocol type and the power supply module protocol type in the dynamic adaptation matrix; if the matching mapping relation exists, data field conversion is executed, and a target protocol frame is generated; and if the matching mapping relation does not exist, starting a machine learning process, creating a temporary mapping rule, and effectively solving the problems of poor compatibility and high manual configuration cost of the charging pile and the power supply module in a traditional protocol mode through the modes of protocol analysis, intelligent matching and dynamic learning.

The invention discloses a chip IP interface information automatic analysis and connection modeling method, and relates to the technical field of integrated circuit verification, and the method comprises the steps: multi-source interface information collection: docking a design server through an FTP / SFTP protocol, automatically retrieving and capturing a target file, carrying out format preprocessing, and storing the collected original information through a database; heterogeneous information fusion analysis: extracting port physical attributes and generating machine executable rules by constructing a grammar analyzer and a semantic analyzer respectively, and automatically judging multi-source information contradictions by adopting a three-level judgment mechanism; structuring modeling of the connection relation: constructing a directed graph model of the IP nodes, the signal nodes and the constraint nodes, and automatically executing directed graph model verification; and through a standardized API interface docking verification tool, outputting a model file and a report file in standardized JSON-LD and DOT formats. Through cooperative work of cross-format acquisition, double-engine analysis, structured modeling and standardized output, full-automatic processing of IP interface information is realized.

The invention discloses a security cooperative processing method based on a chip technology, a medium and a product, and relates to the field of data security, and the method comprises the steps: embedding a security chip in chip equipment, and presetting a chip-level security suite corresponding to the security chip; when a user starts the chip-level security suite through the chip equipment, a handshake request is initiated to the equipment management platform through an HTTP protocol; before data is written into the storage medium, plaintext data is encrypted into a ciphertext by using an SM4 encryption algorithm engine in the security chip, and data writing is carried out according to different types of storage protocols; during data transmission, a legal receiver list is generated based on user permission by using an equipment management platform, and after a user authorizes a receiver, a public key corresponding to the receiver is distributed by using the equipment management platform. According to the application, the security chip, the U-Key, the tablet / all-in-one machine and the equipment management platform can be organically fused to form a security protection entirety, so that a user is assisted, and the data security is improved.

The invention discloses an intelligent dynamic security monitoring system and method based on multi-modal data fusion, and the method comprises the steps: capturing a behavior feature sequence of encrypted network traffic through a protocol analysis engine, and obtaining a hardware state vector of an equipment operation log through a security agent interface, extracting metadata fingerprints of the data session through a cross-network ferry monitor to form three types of standardized data streams; the three types of data streams are input into a space-time alignment engine for time window synchronization, feature level fusion is carried out based on an adaptive weight distribution algorithm, and a multi-modal feature matrix containing a network threat index, an equipment health degree score and a ferry risk value is generated; according to the method, an integrated safety monitoring system of cross-domain collaborative awareness and dynamic closed-loop evolution is constructed, and the risk identification precision, the response timeliness and the self-adaptive capability of the system are remarkably improved.

The invention discloses an edge AI real-time decision-making industrial equipment linkage control method and system, and the method comprises the steps: protocol adaptive data collection and standardization: an industrial gateway automatically recognizes the type of an equipment communication protocol through a composite detection strategy, dynamically loads an analysis plug-in, and converts original equipment data into standardized data; edge intelligent decision-making based on a lightweight AI model: packaging a model subjected to mixed precision quantification and hardware optimization into an AI decision-making unit, deploying the AI decision-making unit in a gateway, executing millisecond-level real-time reasoning through zero-copy data injection, and generating a structured decision-making object; and AI-triggered cross-protocol intelligent linkage control: according to a decision object matching rule base, dynamically instantiating a control instruction set template, and concurrently issuing the control instruction set template to heterogeneous equipment through a protocol adaptive engine to execute linkage operation. According to the invention, a millisecond-level closed loop from sensing, decision making to control is realized, and the core problems of protocol isomerism, cloud delay and function splitting of the existing system are solved.