68 results about "Interaction protocol" patented technology

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 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 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 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 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.

The invention discloses a distributed unmanned cluster cooperative control system, which belongs to the technical field of unmanned system cooperative control, and comprises a heterogeneous cluster composed of various types of unmanned platform nodes, and the cluster comprises an unmanned aerial vehicle node, an unmanned ship node and an unmanned underwater vehicle node; the intelligent control units run on the unmanned platform nodes in a distributed manner and are used for realizing autonomous decision making and local collaboration of the platform; and the dynamic self-organizing communication network is connected with each node in the cluster and is used for realizing information interaction among the nodes. The system provided by the invention has extremely high robustness and survivability, a decentralized architecture eliminates single-point faults, failure or interference of partial nodes does not affect the core function of a cluster, the system is particularly suitable for an adversarial or severe environment, and a distributed task market mechanism enables tasks to be dynamically matched to the most suitable platform, so that the system has high robustness and survivability. The overall operation efficiency and the resource utilization rate are improved, and the cooperative logic of heterogeneous platforms such as air, sea and underwater platforms is effectively unified through a standardized task interaction protocol.

A computer-implemented method for completing self-executing cryptographic interaction protocols using a completion device is disclosed. The method comprises: establishing, by the completion device, a wireless connection with a source device; receiving, from the source device, a request for completion of a self-executing cryptographic interaction protocol; comparing the information that identifies the self-executing cryptographic interaction protocol or the source device to a configuration stored in the completion device; and based on the comparing resulting in a match: outputting, via an output component of the completion device, a first indication of the match between the information and the configuration; signing the self-executing cryptographic interaction protocol using a digital signature stored in a cryptographic hardware element of the completion device; and sending the signed self-executing cryptographic interaction protocol to the source device.

The invention provides a concurrent defect semantic detection method based on a large language model and static analysis, and belongs to the technical field of software engineering. The method comprises the following steps: S1, constructing a static concurrent perception program model; s2, reasoning an intention concurrency model based on LLM; and S3, defect detection based on intention specification. According to the method, a mechanism combining LLM reasoning and static analysis facts is introduced, so that the problem of how to automatically extract and formally express high-level semantic intentions about and issued by developers from codes is solved; secondly, designing a set of workflow, and solving the problem of how to convert an implicit and logic-based interaction protocol among threads into a machine verifiable formalized protocol for accurately judging whether the behavior of a program is compliant or not; and finally, by utilizing the deduced intention protocols, the problem of how to carry out target-clear and efficient defect search is solved, so that blindness of traditional static analysis and a large number of false alarms caused by blindness are avoided.

The invention provides a gaze interaction system based on gravity vector constraint and spatial topology association, and the system comprises a gaze collection module which is used for collecting user gaze information and generating an original gaze direction vector; the attitude correction module is used for acquiring a gravity vector and constructing an attitude correction operator based on the gravity vector; the space object index module is used for maintaining a space object library; the collision judging and locking module is used for constructing a gazing ray based on the gazing direction vector after gravity alignment; and the protocol communication module is used for distributing a control instruction to a target space object according to a standardized interaction protocol and receiving an execution receipt. In different indoor and outdoor space environments, a unified space coordinate expression and object addressing mechanism can be constructed through multi-source positioning / sensing information; and space object broadcasting, gaze vector stream transmission, interaction locking receipt and instruction distribution are completed through a standardized protocol, and finally closed-loop interaction of WYSIWYG control of a physical entity is realized.

This invention discloses an autonomous driving control system and method based on dual-domain collaborative technology. It includes a cloud platform, multiple intelligent stations, a business domain subsystem, and a drive domain subsystem. The intelligent stations are used to acquire station service data in real time; the cloud platform is used to generate driving strategy instructions; the business domain subsystem is used to perform fusion calculations on multi-dimensional data and generate corresponding collaborative control instructions; and the drive domain subsystem is used to execute vehicle driving control according to the collaborative control instructions to dynamically change the vehicle's driving behavior. This invention establishes a bidirectional, quantifiable "business-drive" interaction protocol and adaptation mechanism based on a dual-domain architecture.

The invention relates to the technical field of computers, in particular to a lightweight cloud file universal processing device and method and a storage medium, and the method comprises the steps: generating a plug-in matching request after receiving a cloud space object extension operation request; generating an executable plug-in list according to a plug-in interaction protocol in combination with an object matching rule; plug-in selection, input parameters and output parameters are received, and a plug-in execution request is generated; and distributing a plug-in execution instance for the plug-in execution request, creating the plug-in execution instance when no idle instance exists in an instance pool, loading a target plug-in code to execute cloud file processing, generating a processing result, and providing a task state and a cloud space object identifier of the processing result to an interaction side. According to the invention, through plug-in access and elastic scheduling, rapid expansion of processing capability, unified execution of interfaces and efficient utilization of resources are realized.

The invention belongs to the technical field of astronomical star-pointing explanation software, and discloses a master control method of an intelligent astronomical star-pointing explanation instrument, which comprises an intelligent voice interaction module, a celestial body positioning calibration module and a large model knowledge engine and interaction module. The invention also provides a modularized layered architecture which covers three core modules, namely a voice interaction module, a celestial body positioning module and a large-model knowledge engine module. Through a use case diagram and a data flow diagram, interaction logic between a user and a system and a flow mode of data between software and hardware are presented. Meanwhile, the software and hardware list and the deployment diagram further define resource and environment configuration required by system operation. The key technology design focuses on the problems of data interaction protocols, voice recognition optimization, user experience enhancement and the like, for example, the voice recognition error rate is reduced through fuzzy matching, the telescope operation precision is improved through rocker hierarchical control, and the learning requirements of different users are met through hierarchical knowledge display.

The application provides a standardized interface system and method for multi-scene service docking, belonging to the field of digital media technology. First, service interface information sets containing interactive formats, data transmission modes and function call specification information are obtained from service registration centers of various digital media scenes. Then, interface interaction requirements are analyzed, and an interface interaction requirement list containing interactive trigger conditions, data exchange types and response timeliness requirements is generated. Next, an interface adaptation rule set containing format, transmission and call adaptation rules is generated according to the requirement list. Then, the rule set is used to adapt and process service interfaces of various scenes, and a standardized interface interaction module is obtained. Finally, a cross-scene service interaction protocol is constructed through the module, guiding data interaction and function calls of service interfaces of different digital media scenes, so that efficient and standardized docking of digital media multi-scene services is realized.

The application provides a kind of virtual power plant multi-energy collaborative scheduling and real-time optimization control method and system, it is related to energy management technical field, including: obtaining energy state data identifies coupling relationship, constructs space-time correlation diagram and calculates embedding representation, identifies strong space-time correlation node pair based on embedding representation and carries out sub-domain division, configures boundary interaction protocol, collects response data and calculates deviation, predicts future influence trajectory, when trajectory exceeds allowable fluctuation range, boundary adjustment is executed and modified instruction is obtained by rolling optimization.It can improve the accuracy of multi-energy collaborative scheduling and real-time control effect.

The invention relates to the technical field of cloud platform man-machine interaction, and discloses a power system cloud platform man-machine interaction method, system and device and a medium, and the method comprises the steps: building a first interaction demand evaluation model and a second improved interaction protocol decision model, and considering the personalized demands of a user and environmental factors; the first interaction demand evaluation model can accurately analyze the interaction demands of the target user in different scenes and environments, and the second improved interaction protocol decision model optimizes and adjusts the demands on the basis, so that the dynamic optimization of the interaction protocol is realized. In the interaction process, a preset upper-layer strategy function can select an appropriate rule from preset rules according to the equipment health state and the environmental factors, and an interaction protocol with the optimal efficiency-reliability ratio in the current state is obtained. And a specific interaction configuration instruction is sent to corresponding execution equipment or personnel through a lower execution function, so that interaction configuration operation is implemented, and smooth implementation of an interaction process is ensured.

The application belongs to the technical field of information security, and relates to an endogenous security OS construction method and device based on intelligent agents and control computing, which comprises the following steps: constructing a bottom-layer security base based on a hardware trusted root and a microkernel; defining and deploying hierarchical and function-specific multi-intelligent agent bodies based on the bottom-layer security base; establishing a multi-agent communication and interaction protocol stack for the multi-intelligent agent bodies; developing an intelligent collaborative scheduling algorithm for multi-objective optimization based on the multi-agent communication and interaction protocol stack; fusing an endogenous security mechanism of active defense and passive response; and performing a full-life-cycle security situation assessment on the endogenous security operating system. Dynamic intrusion detection can be performed, an intrusion detection system (IDS) based on machine learning is deployed, normal behavior patterns of intelligent agents are learned, and abnormal tampering behaviors, DoS attacks, communication abnormalities and the like are identified.

The application discloses a kind of based on localization FPGA implementation self-controllable flow table forwarding method and equipment, its method includes: based on domestic SOC type FPGA platform constructs self-controllable switching equipment supporting flow table forwarding, its hardware architecture includes control end and switch end, central processing unit is used as forwarding control layer, FPGA logic processor is used as data forwarding layer to execute high-speed parallel processing;Control end and switch end communicate by self-defined flow table interaction protocol;The software architecture of equipment includes interface adaptation layer, for realizing the mutual conversion of interface data and internal forwarding data packet;Data forwarding layer is used to execute mixed forwarding operation;Forwarding control layer is used to issue, modify or delete flow table rule to switch end by self-defined flow table interaction protocol.The application realizes the self-controllable of switching equipment software and hardware, can flexibly realize the forwarding of service data between different channels, satisfies the demand of military small network switching equipment.

The invention discloses an autonomous charging and cooperative operation and maintenance system and method for a wall-climbing robot of a closed structure such as a tunnel. The system is composed of a tunnel wall-climbing robot, an intelligent charging pile, an edge computing gateway and a cloud operation and maintenance platform. The core of the method is that a cloud platform operates a task and charging cooperative scheduling algorithm based on multi-target rolling optimization, and an action instruction of a robot is dynamically generated; the edge gateway adopts a lightweight screening-precise quantification two-stage AI processing pipeline to perform real-time grading and compression uploading on the detection data; the robot realizes high-fault-tolerance wall surface magnetic attraction butt joint based on fusion positioning and visual servo control; by defining a standardized data interaction protocol, a closed loop of state perception-intelligent decision-accurate execution is realized. According to the invention, full-process automation and intelligentization of tunnel detection from sensing, decision making, charging to operation and maintenance response are realized, and long-term unattended operation in a real sense is achieved.

The present application relates to the technical field of patient service management, and specifically includes an intelligent interaction method and system for improving in-hospital patient service and information collaboration, comprising: constructing a three-dimensional feature vector of in-hospital service state, deploying a demand guiding response strategy, setting a double-delay gradient under a service collaboration framework, combining with a visit constraint condition, loading the optimized interaction response parameters to a terminal cluster, configuring a communication interaction protocol and a collaborative semantic mapping rule corresponding to an information collaboration network. The present application solves the technical problems of existing service response mode solidification, difficulty in accurately mining the coupling relationship between patient core demand and medical resource supply, and resource scheduling decision lagging behind service dynamic changes, and achieves the technical effects of constructing a three-dimensional feature vector containing patients, medical staff and environment, extracting the coupling relationship between patient core demand features and medical resource supply features, dynamically deploying a demand guiding strategy and collecting interaction parameters, and improving the response efficiency and information collaboration reliability of in-hospital service.