888 results about "VIA protocol" patented technology

The invention discloses a method and system for dynamically calling a Java statistical analysis interface based on LLM and MCP protocols, belongs to the technical field of data processing and analysis technology, artificial intelligence technology and application program interface (API) integration, and aims to solve the technical problem of how to improve the response speed and flexibility of statistical analysis requirements. In order to reduce the development and maintenance cost of a statistical analysis function, the adopted technical scheme is as follows: a Java annotation mechanism is utilized to mark and describe an existing Java statistical analysis system, a Java method of which the annotation is defined is obtained, and the Java method of which the annotation is defined can be automatically identified by an MCP server and registered as an MCP tool; the MCP server follows an MCP protocol and communicates with the LLM serving as an MCP client, and the LLM dynamically discovers available MCP tools through the MCP protocol; after natural language query of a user is understood through LLM, one or more appropriate MCP tools are intelligently selected, calling parameters are generated, and an MCP server is requested to execute through an MCP protocol.

The invention relates to the technical field of software defined networks, in particular to an SRv6-based SDN (Software Defined Network) data center load balancing method and system, and the method comprises the steps: obtaining node real-time load and SRv6 routing available resource information through an SDN controller, constructing a load balancing model, and recognizing an overload node and a congestion link; generating a flow scheduling path in combination with segmented routing characteristics; in combination with network state information, monitoring the load condition in real time when the node is unbalanced or the link packet loss rate is gt; when 5%, a load balancing adjustment mechanism is triggered, unbalance types are distinguished, a related flow set is determined, optimization is performed by using a DQN algorithm, and a flow scheduling strategy is generated and dynamically adjusted by taking throughput maximization and unbalance degree minimization as targets; and issuing the scheduling strategy to the data center network equipment, updating the flow table through the Netconf protocol, and redistributing the flow. Therefore, the problems of low load balancing efficiency, insufficient dynamic adaptability, low resource utilization rate and the like in the prior art are solved.

The invention discloses a protocol self-adaption method and device for household photovoltaic data access, and the method comprises the steps: transmitting a predefined multi-protocol detection instruction set to a newly accessed household photovoltaic terminal when the access of the household photovoltaic terminal is detected for the first time, and the predefined multi-protocol detection instruction set comprises standardized instructions of at least two heterogeneous communication protocols; monitoring response data of the household photovoltaic terminal, and identifying a communication protocol type supported by the household photovoltaic terminal based on a feature matching relationship of the response data; dynamically generating a corresponding data analysis template based on the identified communication protocol type, and establishing a protocol adaptation channel; and data acquisition and analysis are carried out on the household photovoltaic terminal through the protocol adaptive channel, so that protocol adaptive access is realized. Parallel detection of heterogeneous protocols is realized by pre-defining a multi-protocol detection instruction set, non-preset library identification of protocol types is completed in combination with response feature matching, and edge-side adaptive access is achieved by using a dynamically generated analysis template and a protocol adaptive channel.

The invention discloses a message feature extraction method and related equipment, and relates to the technical field of feature extraction, and the method comprises the steps: obtaining original message data of target network flow and a corresponding physical layer signal waveform; analyzing the original message data based on a preset protocol layering rule, and determining a multi-layer protocol field set; determining a protocol layer feature vector based on the multi-layer protocol field set; determining a frequency domain feature vector based on the physical layer signal waveform; constructing a cross attention weight matrix based on the protocol layer feature vector and the frequency domain feature vector; and generating a target message feature based on the cross attention weight matrix. According to the method, through dual-mode deep fusion of protocol semantics and physical signals, the analysis capability of the features on encrypted traffic and protocol confusion attacks is enhanced, meanwhile, the feature robustness is improved through dynamic weight distribution and an anti-replay mechanism, and endogenous security features with high discrimination power are provided for complex network threat detection.

The invention relates to the technical field of intelligent fusion terminal communication, and discloses an intelligent fusion terminal multi-protocol communication method and system based on edge computing. According to the method, a protocol adaptive engine is deployed at an edge node, an original data stream of a communication link is collected and analyzed in real time, and a current protocol type is dynamically identified in a fuzzy matching mode. And based on an identification result, the system dynamically loads a corresponding protocol analysis module, generates an adaptive instruction set, and realizes standardized data frame encapsulation through a protocol conversion intermediate layer. And meanwhile, the system monitors the link state, triggers incremental updating of the protocol feature library, and realizes seamless protocol switching. According to the invention, the communication compatibility and reliability are improved, and the requirements of high-reliability scenes such as the industrial Internet of Things are met.

The invention discloses a multi-platform Internet of Things equipment unified access management method, equipment and a storage medium, and relates to the technical field of Internet of Things integration. The method comprises the step of solving the fragmentation problem of cross-platform equipment access through dynamic configuration adaptation. The method comprises the following steps: starting from receiving a front-end equipment operation request, indexing a pre-configured mapping relation database through an equipment unique identifier, and obtaining a target platform type, an API address and an encryption certificate; dynamically calling a protocol adapter based on a platform type, and injecting an account certificate into a request header or a message body according to a platform specification; converting the original parameters into a format supported by a target platform through a protocol conversion engine, and combining the original parameters with the authentication information to generate a complete request; and realizing high-reliability communication by using an asynchronous message queue, and finally returning a platform response to a front end. According to the invention, through mapping management of the configuration driver and dynamic adapter scheduling, equipment access unification across the Internet of Things platform is realized.

The invention relates to the technical field of Internet of Things, in particular to a multi-protocol conversion Internet of Things terminal communication method. Comprising the following steps: monitoring a communication data packet sent by Internet of Things terminal equipment in real time through a protocol sniffing module, and extracting a protocol feature field; matching the protocol feature field based on a dynamic protocol library, and identifying a native protocol type of the equipment; generating a protocol conversion strategy according to a target platform protocol demand, and calling a corresponding protocol analysis engine to perform semantic analysis on the data packet; the analyzed data content is reconstructed according to a target protocol format, and a unified communication interface packaging layer is added; and an optimal communication link is selected through an adaptive routing algorithm, and cross-protocol data transparent transmission is completed. The invention provides an integrated communication method capable of realizing efficient protocol dynamic identification, high-reliability semantic conversion, intelligent link optimization and safe packaging, so as to break through the technical barrier of multi-protocol Internet of Things terminal interconnection.

The present application relates to the technical field of data storage. Disclosed are a multi-source heterogeneous distributed system, a memory access method and a nonvolatile readable storage medium. The method comprises: a first unified interconnection bus unit receiving, by means of a protocol adaptation interface module, a read request sent by a first device, and setting the cache state of a first memory unit to be an invalid state; sending to a second unified interconnection bus unit of a second device a request message obtained by packaging the read request, the second unified interconnection bus unit reading data from a second memory unit; setting the cache state of the second memory unit to be a shared state, and sending to the first unified interconnection bus unit a response message, the first unified interconnection bus unit storing in the first memory unit data carried by the response message; and setting the cache state of the first memory unit to be a shared state. Thus, deploying a unified interconnection bus unit on each device can achieve a consistent memory communication between the devices, thereby achieving memory sharing, and further improving the performance of the multi-source heterogeneous distributed system.

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 invention relates to the field of network security, and discloses a problem line determination method based on IP address classification and identification, which comprises the following steps of: collecting public network IP behavior data in a network flow log, extracting multi-dimensional characteristics such as a time regularity entropy value, a protocol diversity proportion, target port dispersity and a request rate change rate, and determining a problem line according to the extracted multi-dimensional characteristics; constructing an IP association graph fusing feature similarity, time synchronism and physical position constraints; an abnormal IP group is identified by adopting a community division algorithm, and the detection sensitivity is adaptively optimized according to a real-time network load and a historical false alarm rate in combination with a dynamic threshold adjustment mechanism based on a PID feedback control model; the attack type is judged through protocol-port mapping and Mahalanobis distance statistics, alarm information containing an abnormal IP list, a time window and a classification result is generated, and the alarm information is linked with safety equipment to execute a defense strategy. According to the method, the defects of a traditional method in the aspects of multi-dimensional attack recognition, dynamic environment adaptation and cooperative attack detection are overcome.

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 discloses an intelligent management system applied to a convention and exhibition center, relates to the technical field of convention and exhibition intelligent management, and realizes unified and high-precision data input through protocol conversion and multi-mode denoising. Second-level alarm and topology reconstruction are supported in cooperation with anomaly detection and self-adaptive management on the edge side; the comprehensive interpretation precision of the passenger flow and the environment situation is improved by using a multi-modal fusion algorithm; then mapping the perception information into a virtual venue situation by means of a digital twinning and self-learning mechanism, and realizing continuous optimization of sensor calibration and algorithm weight; finally, multi-Agent complex network dynamics is introduced, interaction evolution of a large-scale crowd in an emergency scene is simulated, closed-loop management of active prediction and emergency layout is provided for intelligent exhibition, and leap-type improvement in multiple levels of monitoring precision, safety disposal, resource scheduling and the like is expected to be achieved so as to cope with exhibition layout adjustment.

Protocol detection circuits for detecting the field device protocol of a field device attached to a channel having a data line are sequentially connected to the data line by a controller that communicates to the field device through the protocol detection circuits. The protocol detection circuits are disconnected from the field device after protocol detection is completed. The channel may be one of a number of channels; the controller may also connect and disconnect the protocol detection circuits from the one channel whereby the protocol detection circuits can be used with any channel. After the protocol of the field device is identified a protocol adapter can be inserted into the channel to enable data conversion between the field device protocol and an another protocol used by the channel for data transmission.

The invention discloses a payment capacity expansion processing method, device and equipment, which are applied to external payment equipment configured for a cash register, and the external payment equipment provides at least one expansion payment mode which is not possessed by the cash register. The method comprises the following steps: determining whether the cash register is in a connected state or not; if yes, a state triggering instruction is sent to the cash register through an HID protocol to trigger the cash register to open a console of the cash register and enter a command input waiting state; the method comprises the steps of sending simulation typing information to a cash register through an HID protocol to trigger the cash register, automatically inputting and executing the simulation typing information in a command input waiting state, and enabling the cash register to obtain and install a payment capacity extension program indicated by the simulation typing information through execution; through interaction with the cash register based on the payment capability extension program, the capability corresponding to the extended payment mode is used for the cash register.

The invention belongs to the technical field of power system optimization scheduling, and provides a source network load storage intelligent collaborative optimization method, which comprises the following steps of: deploying sensors at four ends of a source network load storage respectively, collecting in real time by utilizing a cloud data center, enabling data of the four ends to be consistent in time sequence through a PTP protocol, constructing a topological graph according to parameters and data, and establishing a source network load storage intelligent collaborative optimization system. Selecting a model in a digital twinning environment for simulation; dividing independent agents at four ends of a source network load storage, setting observation data, an execution space and excitation feedback, forming an excitation item by economy, stability and environmental protection, interactively circulating actual data, a prediction instruction and an excitation value, recording into a sequence, inputting the sequence into a strategy network, and calculating and outputting logarithmic probability gradient to update the parameters of the strategy network; and the intelligent agent completes interactive circulation according to the strategy network, generates a local scheduling instruction, aggregates the instruction to perform weighted calculation, generates a global scheduling scheme, issues the global scheduling scheme to execution equipment, updates parameters by using an average deviation calculated by a deviation vector, resolves the global scheduling scheme and issues the global scheduling scheme to form a closed-loop mechanism.

The invention discloses an industrial communication protocol conversion system and conversion method. The method comprises the following steps: acquiring data of an industrial communication source protocol; protocol conversion: converting the source protocol data into target protocol data according to a sequence of protocol analysis, standardized modeling and protocol repackaging; according to protocol analysis, original data transmitted from different hardware interfaces are analyzed according to corresponding industrial protocols; the standardized modeling parses the data into a data model in a unified format; protocol repackaging: recoding the data model into a data frame conforming to a communication specification according to a target protocol rule; and data output: pushing the obtained target protocol data to a third-party server through an MQTT protocol or directly storing the target protocol data in a database for a third-party system to access. Through three core technologies of protocol analysis, unified data modeling and protocol packaging, lossless conversion among different industrial protocols is realized, and an efficient and reliable data communication infrastructure is provided for an industrial automation system.

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 crossing field of industrial control system (ICS) safety and artificial intelligence, and particularly discloses a PLC high-interaction honeypot system based on multi-agent task splitting and RAG enhancement, which adopts a localized multi-agent collaborative architecture based on edge computing and is composed of a high-simulation equipment layer and an intelligent decision-making layer. The high-simulation equipment layer comprises a PLC dynamic mirror image, an HMI interface and a sensor data generator, and an active trapping environment is constructed through protocol fingerprint confusion and virtual and real data fusion technologies. The decision-making layer deploys a multi-agent task scheduling engine, integrates four kinds of agents including protocol analysis, behavior analysis, threat assessment and response generation, and realizes attack context perception and strategy dynamic generation based on a local RAG knowledge base. The load balancing agent dynamically allocates tasks according to equipment resources, and cooperates with offline knowledge update (USB flash disk encryption synchronization threat features) to form a closed-loop defense system, thereby ensuring physical isolation of an industrial network and realizing high-fidelity active defense.

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 present invention discloses a distributed data integration method and system for multi-source device protocols, and relates to the field of data processing technology. The method comprises: connecting a protocol adaptation layer to perform data protocol adaptation and analysis of multi-source protocol data, and outputting conversion data; fusing distributed data in the conversion data to obtain monitoring data; obtaining abnormal warnings by detecting abnormalities in the monitoring data; performing data correction on the abnormal warnings, combining with normal data in the monitoring data, and encrypting and integrating the corrected data to obtain distributed integration results; constructing a distributed architecture with distributed data and distributed integration results, and storing and managing data. The method solves the technical problem of low data integration efficiency caused by incompatibility of multi-source device protocols in the prior art, and achieves seamless connection between different device protocols through protocol adaptation and analysis of the protocol adaptation layer, and fusion of conversion data, thereby achieving the technical effect of improving data integration efficiency.

The invention discloses an intelligent call capability monitoring method and system based on a cloud mobile phone and a storage medium, and the method comprises the steps: collecting and preprocessing audio, video and other heterogeneous data through a QUIC protocol, dynamically evaluating the weight through a Transform architecture model to generate an abnormal confidence coefficient, triggering multi-modal data backtracking during abnormality, and carrying out the correlation analysis of a high-frequency sampling bottom hardware index. And constructing a three-level time sequence evidence chain and a root cause knowledge graph to position a fault root, and performing joint training and reinforcement learning parameter adjustment in combination with user feedback to realize online iteration of the model. The system comprises a heterogeneous data fusion acquisition unit, a dynamic weight evaluation unit and the like, and the steps of the method are correspondingly executed. According to the invention, through multiple dimensions, full-process accurate monitoring of the call data, rapid abnormal positioning and efficient solution are realized, a closed-loop optimization system is constructed, continuous evolution of a monitoring model is promoted, the cloud mobile phone call quality and the user experience are remarkably improved, and a solid technical guarantee is provided for the cloud mobile phone call service.

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 host USB structure verification management system based on model fusion, and particularly relates to the field of computer security. The system comprises a data acquisition layer for acquiring a protocol data packet, an electrical signal waveform and equipment logic state information of a USB interface in real time, and generating a standardized multi-modal data stream through time alignment processing; the feature extraction layer is used for extracting modeling features from the standardized multi-modal data stream and encoding the modeling features into a structured matrix; the model fusion layer is used for fusing and outputting joint verification confidence through a protocol rule model, an anomaly detection model and a simulation model; the decision management layer executes a three-level verification strategy in sequence; the user interaction layer provides a visual monitoring and manual feedback interface and supports dynamic model replacement. According to the method, the structural legality of the USB equipment is verified through multi-model cooperation, real-time monitoring and risk level-to-level management of the USB equipment are achieved, the safety and compliance of the host terminal are improved, and the method is suitable for enterprise-level USB equipment protection scenes.

The invention relates to the technical field of host asset management, and discloses a method for automatically checking host system assets, which comprises the following steps of: multi-protocol adaptation and dynamic selection: realizing dynamic protocol selection and adaptation by utilizing a protocol selection engine according to the type of a host, environment attributes and network characteristics; data acquisition and integration: performing real-time acquisition on multi-source data through an asynchronous concurrent acquisition task, and completing data cleaning, duplicate removal and standardization; and distributed storage and correlation analysis: storing the collected host asset data in a distributed database, and establishing a dependency relationship model between assets by using the database. According to the technical scheme, a multi-protocol adaptation and dynamic selection technical scheme based on a host attribute priority rule is adopted, a protocol selection engine is combined with a dynamic switching mechanism, efficient collection of multiple types of host assets is achieved in a heterogeneous environment, and the technical effect of selecting an optimal protocol for systems of different host types is achieved.

The invention relates to the technical field of private domain knowledge updating, and discloses an MCP protocol-oriented private domain knowledge dynamic updating method and system, which monitor the change of a private domain knowledge source in real time through an updating agent component, and calculate a hierarchical hash abstract to efficiently detect a change event. Once the change is found, the change is compared with the root hash which is successfully notified last time, and if the change is different from the root hash which is successfully notified last time, an update notification is sent to a knowledge update service component through an MCP protocol. And after confirming the root hash difference, the receiving end requests the increment message to obtain the specific change content. And then, the updating agent component accurately locates the changed knowledge unit, extracts an incremental data packet and transmits the incremental data packet to the knowledge updating service component for application through an MCP protocol. Therefore, not only are unnecessary network bandwidth and computing resource consumption greatly reduced, but also the real-time performance and accuracy of data updating are remarkably improved, and powerful support is provided for efficient decision making of enterprises.

The invention provides an industrial network topology construction method and system based on active and passive linkage, and the method comprises the following steps: S1, extracting equipment interface information and a neighbor link relation through an SNMP protocol, and screening stable and credible links in combination with multi-point routing link detection and time sequence analysis; s2, collecting flow data, carrying out direction modeling, analyzing and detecting abnormal links based on communication frequency, and filtering short-time interference links; s3, integrating active detection and passive acquisition equipment and link information, and realizing equipment and link merging based on the unique identifier of the equipment; and S4, performing link clustering, feeding back to an active detection module and a passive acquisition module, and optimizing an initiating node of the next round of active detection and an acquisition node of flow acquisition. The efficient and accurate network topology construction method is provided for solving the problems of multiple IP identifiers, complex topology links, noise link interference and the like of equipment in an industrial network, the noise link interference can be remarkably reduced, and the efficiency and accuracy of network management are improved.

The invention relates to the technical field of micro-service architecture and intelligent operation and maintenance, and discloses a micro-service dynamic heterogeneous routing system and method based on a large model, and the system comprises a semantic control layer, a protocol adaptation module, a path optimization module, a path scheduling module, and an execution layer. The method comprises the following steps: analyzing a micro-service API document through a large language model, extracting a semantic dependency relationship between services, and generating a service dependency graph; analyzing a business semantic chain; selecting a path with the minimum cost by applying a path optimization algorithm; optimizing path scheduling by using reinforcement learning according to real-time network conditions and service requirements; and finally executing path optimization and performing protocol adaptation conversion. According to the method, the API document is analyzed through the large language model to automatically construct the service dependency graph, the path is dynamically adjusted in combination with the path optimization and reinforcement learning algorithm, and the optimization problem of the service calling path is solved. Through the protocol adaptation execution unit, automatic adaptation of the cross-protocol service is realized, and the efficiency and maintainability of the system are improved.