123 results about "Interaction protocol" patented technology

The invention discloses a collaborative scheduling method based on a security agent, and relates to the technical field of network security design. The specific operation of the security agent collaborative scheduling method comprises the steps of system deployment and initialization, security operation task execution process, agent self-learning and capability evolution implementation, cross-domain security agent collaborative adaptation implementation and security operation visualization and traceability implementation. Connection paths between the security agent and business data, a private knowledge base, a security tool and multiple models are broken through, the problem that all elements in a traditional mode lack efficient communication and collaboration is solved, and by means of agent routing dynamic scheduling, A2A protocol interaction, MCP protocol tool calling, RAG business interface calling and multi-model combination, the security of the security agent is improved. Integration and intellectualization of the safety operation process are achieved, the continuity and the response speed of the operation process are improved, safety operation is more efficient and collaborative, and complex and variable safety requirements are met.

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 a smart campus converged communication system and an information interaction method thereof, and relates to the technical field of campus communication. The system comprises a terminal access module, a protocol conversion module, a hierarchical transmission module and a cross-modal interaction module. The terminal access module acquires a terminal data stream in real time by using a multi-protocol adapter; the protocol conversion module performs protocol decoupling and standardized packaging on the data flow by using a QoS bandwidth prediction model, and generates a bandwidth allocation scheme according to a dynamic bandwidth allocation algorithm in combination with a network topology state matrix; the hierarchical transmission module extracts service information data by using a data semantic analysis model, calculates Shannon entropy and constructs a transmission queue mapping table; and the cross-modal interaction module generates an interaction protocol stack adaptive to the service by using a multi-modal feature collaborative extraction mechanism and an attention weight fusion mechanism based on the transmission queue mapping table.

The invention discloses a ship supervision system for a navigable water area of a wind power plant, and relates to the technical field of ship supervision. The ship supervision system for the navigable water area of the wind power plant comprises a technical basis and model design module, a system framework construction module, an information interaction protocol and interface module, a ship monitoring and risk early warning module, an emergency disposal and collaborative optimization module, a data sharing and display platform and a system operation and maintenance management module. A high-concurrency and low-delay data exchange technology and a micro-service architecture are introduced, so that the expandability, maintainability and concurrent processing capacity of the system are remarkably improved, the high-concurrency requirement is effectively met, and delay and faults are reduced. The design of the double-supervision cooperation module realizes the close cooperation between the land control center and the maritime institution, and improves the efficiency of joint patrol and emergency response through a special information interaction protocol and a service cooperation interface. The ship monitoring and risk early warning module can evaluate the collision risk in real time and give out combined early warning, and the safety supervision capability is enhanced.

The invention belongs to the technical field of information security, and relates to an endogenous security OS construction method and device based on intelligent agent and control computing, and the method comprises the steps: constructing an underlying security base based on a hardware trusted root and a microkernel; based on the bottom-layer security base, defining and deploying a hierarchical multi-intelligent agent with a specific function; establishing a multi-agent communication and interaction protocol stack for the multi-intelligent agent; based on a multi-agent communication and interaction protocol stack, an intelligent collaborative scheduling algorithm oriented to multi-objective optimization is developed; an endogenous security mechanism integrating active defense and passive response; and carrying out full-life-cycle security situation assessment on the endogenous security operation system. Dynamic intrusion detection can be carried out, an intrusion detection system (IDS) based on machine learning is deployed, a normal behavior mode of an intelligent agent is learned, and abnormal tampering behaviors, DoS attacks, communication anomalies and the like are identified.

The invention provides a terminal access method and system based on a satellite flash protocol, relates to the technical field of wireless private network communication, and can avoid potential safety hazards caused by exposure of own information due to active broadcast of satellite flash equipment and improve the connection security of the satellite flash equipment and a terminal. The method is applied to a first terminal and comprises the steps that first information based on a satellite flash protocol is sent in a broadcast mode, and the first information comprises a unique identifier of the first terminal and is used for discovering peripheral satellite flash equipment; second information based on the satellite flash protocol from the satellite flash device is obtained through scanning, the second information comprises a unique identifier of the satellite flash device, and the second information is sent after the satellite flash device determines that the first terminal has the access permission based on the unique identifier of the first terminal; analyzing the second information to obtain a unique identifier of the satellite flash device; and sending an access request to the star flash device according to the unique identifier of the star flash device, wherein the access request is used for triggering establishment of star flash service interaction protocol connection with the star flash device.

The invention relates to a simulation modeling method and system based on a natural language and computer equipment. Comprising the steps that natural language modeling simulation is achieved according to the technology of a large model, an intelligent entity and a protocol module, and the intelligent entity serves as a communication bridge between the protocol module and the large model. After a user question based on a natural language is obtained through an intelligent entity, a response of a large model to the natural language and communication interaction between the large model and a protocol module are triggered; the related target tool interface provided by the protocol module is called by the intelligent entity, so that the tool calling specification is ensured to be accurate, and the protocol module is enabled to determine and execute the target tool after the request is responded for multiple times. Therefore, through interactive use of the natural language of the large model, the use threshold of the user is reduced, the accessibility of the model is improved, codes do not need to be written or complex graphs do not need to be drawn, and the simulation modeling efficiency is greatly improved.

The invention discloses an equipment interlocking safety management system and method of a CNC production chain, particularly relates to the technical field of safety management, and integrates multi-source sensor data and a deep learning model, extracts equipment fatigue and fault features, and evaluates an equipment risk level by using a fuzzy Bayesian neural network. Meanwhile, a wearable brain-computer interface is introduced, the nerve state of an operator is monitored in real time, the fatigue index is quantified, and double monitoring of the man-machine state is achieved. The system can automatically adjust the interlocking safety level based on the risk level, optimizes the man-machine interaction strategy through reinforcement learning, and improves the safety and intelligent level of the industrial production process. And meanwhile, a man-machine interaction protocol is optimized through a reinforcement learning training self-adaptive strategy.

The invention relates to the technical field of multi-agent question and answer optimization, and discloses a multi-agent question and answer interaction efficiency and performance optimization method based on a large model. The method comprises the steps of analyzing multi-agent question and answer historical data through a large model, and extracting response time and accuracy indexes of agents and an interaction frequency mode between the agents; according to the indexes and the modes, the agents are classified into different role types, and corresponding question and answer tasks are distributed; then generating an interaction protocol adaptive to a role type, and determining a message priority rule and a communication triggering condition of intelligent agent communication; when multi-agent question and answer interaction is executed, the agents complete message exchange and query response according to a protocol; meanwhile, delay data and throughput data generated by interaction are collected, so that a message priority rule and a communication triggering condition of an interaction protocol are modified, and the overall efficiency and performance of multi-agent question and answer interaction are optimized.

The invention belongs to a data interaction method, and provides a heterogeneous system data interaction method and system, electronic equipment and a storage medium aiming at the technical problem of low data analysis efficiency when data interaction is carried out between different service subsystems in an electricity market. The data self-description interaction protocol comprises total data information, data structure information and data content information, and due to the fact that the data self-description interaction protocol can self-describe the structure and the content of the data, different service modules do not need to concern the internal data formats of each other in practical application, and the data self-description interaction protocol can be used for self-describing the structure and the content of the data. And the data is packaged and analyzed only according to the data self-description interaction protocol, so that the interoperability between the systems is greatly improved.

The invention provides a real-time personalized interaction system, and relates to the technical field of interaction systems, and the system comprises the steps: S1, a multi-modal input fusion algorithm; s2, a real-time interaction protocol; s3, a voice interruption processing mechanism; s4, an emotion calculation and expression module which constructs an emotion calculation framework comprising an emotion recognition engine and a personalized response generator, and adjusts an answer style according to non-speech clues such as mood and expression of a user, so that interaction is more humanized; s5, designing an emotion module; and S6, the memory module continuously optimizes self behavior strategies through interaction with the environment, gradually learns the preferences and habits of the user, and provides more personalized services. The system has ultra-low delay, supports multi-mode interaction, is provided with an emotion and memory system, can continuously optimize self behavior strategies through interaction with the environment, can gradually learn preferences and habits of users, and provides more personalized services.

The invention discloses a PLC and MES simulation interaction protocol conversion gateway realization method, and relates to the field of data interaction, and the method comprises the following steps: 1, collecting an original data flow of a PLC side heterogeneous industrial bus protocol and an interaction instruction of an MES side manufacturing execution layer protocol in real time, dynamically scanning the data flow through an abnormality diagnosis engine, and carrying out the dynamic scanning of the data flow through an abnormality diagnosis engine; identifying missing fields, transmission timeout or numerical value border crossing abnormal states in the PLC data, and generating an abnormal feature vector set carrying timestamps and associated point position labels; 2, constructing and pre-training an anomaly prediction model through a deep learning algorithm, and inputting an anomaly feature vector to the model; trend prediction and confidence evaluation of missing data are realized through a pre-training deep learning model, quantitative credibility support is provided while data continuity is ensured, it is ensured that an MES system can still operate continuously based on credible simulation data when equipment is abnormal, and the risk of production stagnation caused by forced interruption of a traditional gateway is avoided.

The invention belongs to the technical field of intelligent manufacturing and digital twinning, and provides a visual and multi-terminal cooperative control method and system for an automobile welding workshop, and the technical scheme is as follows: constructing three-dimensional scene databases of welding workshops with different geometric accuracies respectively; calculating the screen occupancy rate of each object of the client in real time, determining a precise three-dimensional model by combining the distance of the object and the size of the bounding box, and switching to a three-dimensional model view with the corresponding precision; on the basis of taking the switched three-dimensional model view as an interaction interface, converting a received user interaction intention into a standard control instruction according to an interaction protocol; and converting the standardized control instruction into a specific equipment control command, matching with the constructed distributed nodes according to the specific equipment control command, and executing a corresponding multi-terminal cooperative control instruction based on the matched distributed nodes. The technical problems of contradiction between rendering performance and reality sense, non-uniform multi-terminal operation, separation of real-time control and visualization and the like are solved.

The invention provides a standardized interface system and method for multi-scene service docking, and belongs to the technical field of digital media, and the method comprises the steps: firstly, obtaining a service interface information set containing an interaction format, a data transmission mode and function call specification information from a service registration center of each digital media scene; generating an interface interaction demand list containing interaction triggering conditions, data exchange types and response timeliness requirements, generating an interface adaptation rule set containing format, transmission and calling adaptation rules according to the demand list, and then performing adaptation processing on each scene service interface according to the rule set to obtain a standardized interface interaction module; and finally, a cross-scene service interaction protocol is constructed through the module, and service interfaces of different digital media scenes are guided to realize data interaction and function calling, so that efficient and standardized docking of digital media multi-scene services is realized.

The application relates to the technical field of system integration management, and discloses an application system integration management system and method based on artificial intelligence. The system obtains integration requirements of application systems through an information acquisition module; a compatibility analysis module analyzes compatibility between systems to generate a preliminary integration scheme in combination with the integration requirements and a pre-trained artificial intelligence model; a preliminary configuration module configures data conversion rules and interaction protocols between systems according to the scheme, and outputs a preliminary configuration result; an integration acquisition module completes preliminary integration based on the configuration result, synchronously acquires state data and abnormal information in the integration process; a state feedback module feeds back the data to the artificial intelligence model; and a scheme optimization module optimizes the preliminary scheme by means of the model after feedback, and obtains an optimized integration scheme. The application effectively solves the problems of low efficiency, poor accuracy, insufficient integration stability and high maintenance difficulty caused by the lack of real-time feedback and dynamic optimization in the prior art, which are caused by the fact that application system integration relies on manual operation.

The invention discloses an intelligent vehicle-network interaction control system and method for large-scale electric vehicles. The system comprises a power distribution cloud master station, a transformer area intelligent fusion terminal, a vehicle-network interaction protocol conversion device and a charging pile. And the power distribution cloud master station is responsible for hierarchically aggregating the schedulable capacity of'courts-feeders-main transformers-areas' and issuing regulation and control instructions. The transformer area intelligent fusion terminal is provided with a special APP and is responsible for gathering electric vehicle data in a transformer area to form a schedulable capacity, receiving an instruction and generating a transformer area control strategy. The protocol conversion device realizes adaptive access of various charging piles and converts a strategy into a specific control instruction. The charging pile executes charging and discharging power adjustment; according to the invention, by constructing the distributed collaborative architecture and the intelligent algorithm, the problem that the intelligent and collaborative capabilities of the existing V2G system are insufficient is solved, and accurate and efficient regulation and control of large-scale electric vehicle resources are realized.

Conducting secure transfers between computing devices can pose a challenge. Therefore, an oblivious transfer can be used to conduct a secure transfer. The oblivious transfer (OT) is an interactive protocol between two parties: a sender computing device and a receiver computing device. An OT protocol involves the sender computing device holding two messages m0 and m1, and the receiver computing device holding a bit b? {0, 1}. At the end of the protocol, the receiver computing device should only learn the message mb and nothing about the other message m1?b, while the sender computing device should learn nothing about the bit b. With the steady progress in quantum computing, several post-quantum oblivious transfer protocols can be derived.

The application discloses a power distribution station intelligent operation and maintenance decision system and method based on multi-modal data fusion, the system comprises four layers of architecture of data acquisition, fusion, core application and user interaction, and is also provided with a protocol adaptation module cooperating with the acquisition layer; the data acquisition layer integrates multi-source data of multiple operation and maintenance devices of the power distribution station through a communication access device, and forms multi-source multi-modal operation and maintenance data; the fusion layer completes cross-system association to obtain associated data through an association analysis mechanism after preprocessing data; the core application layer realizes intelligent alarm, remote inspection and other operation and maintenance functions based on the associated data; the user interaction layer is responsible for operation and maintenance information display, operation control and message interaction; and the protocol adaptation module guarantees interconnection communication of the access devices through protocol compatibility.

The invention discloses an augmented reality chest surgery department nursing evaluation intervention method, and relates to the technical field of chest surgery department nursing, and the technical scheme comprises the following steps: collecting multi-mode nursing data, AR equipment environment perception data and a nursing intervention instruction in a chest surgery department perioperative period; performing judgment and demand mapping on the nursing intervention instruction to obtain a target nursing intervention scene and an AR dynamic interaction rule; based on the clinical priority of the nursing intervention instruction, the rehabilitation contribution degree of the patient and the AR interaction real-time performance, grading AR dynamic interaction rules to obtain a functional nursing task set; sensing data features according to an AR interaction protocol specification and an AR device environment corresponding to the target nursing intervention scene; the method has the advantages that emergency tasks can be executed automatically and preferentially, conventional tasks can be delayed, the highest equipment resource authority is allocated to the emergency tasks, intervention response time is shortened, potential safety hazards caused by intervention response lag are reduced, and nursing timeliness and safety are improved.

The invention provides a virtual power plant multi-energy collaborative scheduling and real-time optimization control method and system, and relates to the technical field of energy management, and the method comprises the steps: obtaining an energy state data recognition coupling relation, constructing a space-time association graph, calculating an embedded representation, recognizing a strong space-time association node pair based on the embedded representation, and carrying out the subdomain division, and configuring a boundary interaction protocol, collecting response data, calculating deviation, predicting a future influence trajectory, executing boundary adjustment when the trajectory exceeds an allowable fluctuation range, and obtaining a correction instruction through rolling optimization. The multi-energy collaborative scheduling precision and the real-time control effect can be improved.

The invention discloses a code generation method, system and device and a computer readable storage medium, and relates to the technical field of software development, the code generation demand information is acquired and analyzed, and structured information is generated; based on the structured information, generating an architecture DSL of a code according to a four-stage interaction protocol; based on the architecture DSL, a logic graph of codes is generated according to a four-stage interaction protocol; based on the logic map, generating an API specification of the code according to a four-stage interaction protocol; generating a code according to a four-stage interaction protocol based on a framework DSL, a logic graph and an API specification; the four-stage interaction protocol comprises the steps of judging whether to-be-processed data is complete or not, if the to-be-processed data is not complete, obtaining expanded data of the to-be-processed data according to a user interaction result, generating a candidate scheme based on the to-be-processed data and the expanded data, and generating a code product corresponding to the to-be-processed data according to the candidate scheme selected by a user. The resource consumption is reduced, and the controllability and the accuracy are improved.

The invention relates to the related technical field of patient service management, in particular to an intelligent interaction method and system for improving hospital patient service and information collaboration, and the method comprises the steps: constructing a three-dimensional feature vector of a hospital service state, deploying a demand guidance response strategy, setting a double-delay gradient under a service collaboration framework, and combining a doctor-seeing constraint condition to obtain a patient service state; and loading the optimized interaction response parameter to a terminal cluster, and configuring a communication interaction protocol and a collaborative semantic mapping rule corresponding to the information collaborative network. The technical problems that an existing service response mode is fixed, it is difficult to accurately mine the coupling relation between patient core demands and medical care resource supply, and a resource scheduling decision lags behind service dynamic change are solved, three-dimensional feature vectors containing patients, medical care and environments are constructed, the coupling relation between patient core demand features and medical care resource supply features is extracted, and the resource scheduling decision is determined to be more accurate. And dynamically deploying the demand guidance strategy and collecting the interaction parameters, thereby improving the response efficiency of the service in the hospital and the information cooperation reliability.

The invention provides a test method of airborne network terminal equipment supporting power supply control, which integrates a power supply control unit on the basis of an original test console, an original test unit and an original tested unit of a traditional airborne network terminal equipment test platform, and designs a set of interaction protocol suitable for the test console and the power supply control unit. Automatic testing of the power-on and power-off working scene of the airborne network terminal equipment is achieved, and the automation degree of the airborne network terminal equipment testing platform is improved.

A method and device for checking resource pool equipment, the method comprising: based on the interaction protocol of the query interface of each measured device in the resource pool, capturing the interface data of all measured devices in the resource pool; using the interface data, virtualizing the query interface virtual service of each measured device in the resource pool; using the query interface virtual service, providing the query data of each measured device of the resource pool. The method and device for checking resource pool equipment provided by the embodiment of the present application can reduce the dependence of equipment checking on physical equipment and physical links, and reduce the checking time consumed by the response speed of physical equipment and the transmission time consumption of links. In addition, the present application also supports the tracing and checking of past historical data by performing persistent version control on the captured data.

The invention provides a land space planning scheme processing method, device and system and electronic equipment, and the method comprises the steps: responding to a received planning scheme, calling a space analysis tool and / or a planning knowledge base by at least two agents, and obtaining a sensing result; generating a judgment result according to the perception result and predetermined target preference information; calling a pre-configured structured expression template, and generating negotiation messages respectively corresponding to the at least two agents; information interaction is carried out between the at least two agents based on an agent interaction protocol A2A; evaluating the planning scheme and the like to obtain correction suggestion information; and processing the correction suggestion information proposed by the plurality of second intelligent agents, selecting one instruction as a processing result and issuing the processing result to the corresponding second intelligent agent, ending negotiation if the current state meets the convergence condition, and starting the next round if the current state does not meet the convergence condition. The method can improve the information interaction efficiency in the land planning process.

The invention relates to the technical field of first-aid medical informatization, in particular to a first-aid transfer path intelligent recommendation method and system based on the AI technology, and the method comprises the following steps: S1, collecting vital sign data of a patient, vehicle running state data and traffic road condition data, carrying out cleaning and space-time alignment, and constructing a first-aid transfer state data set; and S2, performing illness criticality assessment and hospital resource matching based on the first-aid transfer state data set, locking a target hospital through a two-way resource interaction protocol, and generating a main navigation path. According to the method, the vital signs of the patient, the running state of the vehicle and the real-time road condition data are subjected to unified space-time alignment, and illness criticality evaluation, hospital resource locking and track re-planning based on medical operation stability are introduced, so that the first-aid transfer path can be dynamically adjusted according to the state of the patient and the road condition; therefore, the medical continuity and the path decision accuracy of the critical patient in the transfer process are remarkably improved, and the overall treatment efficiency is improved.

The invention discloses a multi-framework collaborative database analysis system, which is provided with a storage framework, a computing framework and a middle layer, and data transmission is carried out between the middle layer and the storage framework through a predefined communication protocol. Data transmission is carried out between the intermediate layer and the computing framework through a predefined interaction protocol, and the multi-framework collaborative database analysis system executes the following steps S1 to S6 when working: S1: creating a computing graph; s2, data request and preparation; s3, data type conversion; s4, data transmission and calculation processing; s5, receiving, converting and storing a result; and S6, finally outputting a result.

The invention discloses a tamper-resistant communication method for a door lock Bluetooth distribution network and a data interaction protocol. The core of the method is to design a set of Bluetooth communication protocol frames which are strict in structure and high in safety. The protocol frame comprises fields such as a message header, a total length, an encryption mark, a token, a message ID, a packet sequence number, a function ID, attribute content and a check code. Identity authentication and replay attack prevention are realized through a dynamic token, key service data are encrypted through an encryption mark and a symmetric encryption algorithm, and data integrity is guaranteed through a check code. And the receiver can execute the instruction only after verification, decryption and analysis. According to the method, the potential safety hazard that data hijacking, tampering and replay attacks are easily caused in traditional door lock Bluetooth communication is effectively solved, and the communication safety and reliability of the intelligent door lock in the network distribution, configuration and user management processes are remarkably improved.

According to the industrial control instruction interaction method for the grinding machine, whether the preset conditions are met or not is checked through the first downlink instruction, for example, whether the authority requirement and the operation confirmation requirement are met or not, then the operation is executed through the second downlink instruction, hierarchical authority control is achieved, and the misoperation risk of the grinding machine is reduced. In addition, instruction interaction is preferably carried out based on a Modbus TCP protocol, high coupling of an interaction protocol and a voice technology can be realized, and complex control logic such as parameter setting can be supported.