105 results about "Interaction layer" patented technology

The invention relates to a multi-agent cooperation system based on a large model and a bionic human brain structure, and the method comprises the steps: an interaction layer is used for obtaining a natural language instruction inputted by a user side, and analyzing the natural language instruction into a structured task request; the application layer is used for generating a sub-task list according to the structured task request and determining a target resource demand; the support layer is used for dynamically allocating computing resources according to the sub-task list and target resource requirements and generating a resource allocation result; the cognitive layer is used for generating an environment state and a recommendation strategy according to the external environment data and the context of the natural language instruction; the decision-making layer generates a co-situation response and a task execution instruction according to the environment state, the recommendation strategy and the long-term portrait of the user; the execution layer is used for performing task execution according to the task execution instruction and generating a task execution result; and the model layer is used for determining a target model according to the task request and the model load state, and executing a task to generate a model processing result. According to the invention, the agent collaboration efficiency in a complex scene is improved.

The invention relates to the technical field of big data, and discloses an AI computing power resource remote calling framework and a big data direct connection method. The AI computing power resource remote calling framework comprises an interaction layer and a resource layer; the interaction layer is used for interacting with a user application on a user side, and the user application adopts a programming mode and calls the AI computing power service of the resource layer through an API interface provided by the interaction layer to execute model training or model reasoning; and the resource layer is used for bearing and managing AI computing power resources and scheduling the AI computing power resources through an AI computing power service to execute model reasoning or model training. Layered design is adopted, development and application scenes which are more convenient and easier to use are provided for computing resource users and AI development users, remote calling of the AI computing power resources is achieved through dynamic scheduling of the AI computing power resources, the framework can be deployed on multi-heterogeneous computing power platforms such as a cloud end, an edge end and an equipment end in practical application, and the framework is easy to popularize. And the expandability and scalability of the AI computing power resource platform are further improved.

The invention provides a secure sandbox system of a trusted data space, which comprises a data source module, a data secure sandbox platform module and an interaction layer module, the method comprises the steps that a data source module is used for encrypting data, encrypted data is transmitted to a data security sandbox platform module through an encryption transmission channel, and only a data source administrator has the authority to decrypt and calculate, and relates to the technical field of data security. Multiple security defense lines are constructed for the data, the data are always in an encrypted state in the circulation process, different operation environments are isolated from one another, and the risk of data leakage is greatly reduced.

The invention relates to a cloud mobile phone acceleration system and method based on edge computing, a processing device and a storage medium, the system comprises an edge computing layer, a protocol interaction layer and a cloud collaboration layer, and the edge computing layer comprises edge nodes and a dynamic scheduling module; the edge nodes are used for receiving real-time tasks or non-real-time tasks and preprocessing the distributed real-time tasks; the dynamic scheduling module is used for performing task allocation according to the edge node load state and the cloud resource state; the protocol interaction layer is used for receiving the preprocessed real-time task, encrypting a header field and transmitting the header field to the cloud collaboration layer; transmitting the audio and video stream sent by the cloud collaboration layer to a user terminal; transmitting the non-real-time task to a cloud collaboration layer; the cloud collaboration layer is used for decrypting the encrypted real-time task; and processing the decrypted real-time tasks and the distributed non-real-time tasks to obtain audio and video streams. The method can be widely applied to the crossing field of edge computing and cloud mobile phone technologies.

The invention discloses a multi-mode dynamic globe interaction system based on three-dimensional lamination and capacitive touch control, and relates to the field of interaction data processing, the system comprises a cloud platform module, an interaction module and a rendering module, and the interaction module comprises an interaction pre-training unit, an interaction identification unit and an interaction layer control unit. According to the method, a machine learning model is adopted to intelligently recognize interaction behaviors, the control activation state of each interaction layer is dynamically adjusted, conflicts are avoided through multi-layer interaction coordination, and the interaction experience is optimized. Through combination of a light source path algorithm, environment data such as temperature and humidity and a hardware resource state of the interaction module are monitored in real time, and interaction sensitivity is intelligently adjusted. Through a self-adaptive precision compensation mechanism, the system dynamically adjusts the precision of the touch layer according to a physical motion state, and high-precision interaction is ensured. The interaction precision and the response speed of the equipment are improved, and stable and efficient user experience is provided in a changing environment and hardware state.

The invention relates to the technical field of industrial communication and Internet of Things, in particular to an IO-Link gateway system and method for heterogeneous protocol unification and edge enabling. Comprising a hardware layer, a protocol adaptation layer, a data processing layer, an intelligent computing layer and a communication interaction layer which are connected in sequence to achieve standardized conversion and edge intelligent processing of heterogeneous industrial data, and data time sequence consistency and system operation stability are guaranteed in the whole process. According to the invention, a plurality of heterogeneous industrial protocols are downwards and uniformly mapped to a technical path of an IO-Link international standard, and heterogeneous data are converted into a standard IO-Link object dictionary at a gateway level, so that field devices of different manufacturers and different protocols can carry out data interaction with a uniform and semantic-rich information model; therefore, plug-and-play of data is realized in the equipment access layer, and a solid foundation is laid for constructing an integrated industrial Internet of Things system.

The invention discloses an intelligent interaction system based on an APP five-network-in-one technology and an implementation method, relates to the technical field of information interaction, and realizes deep fusion and intelligent interaction of multiple network ends (APPs, applets, H5, PC websites and V stations) through layered architecture design (a unified service support layer, a data cooperative processing layer, an intelligent adaptation interaction layer and a multi-network cooperative optimization layer). The system constructs a unified API gateway based on a micro-service and containerization technology, integrates multi-network-end data through an ETL technology, and realizes real-time synchronization by using a message queue; the intelligent terminal detection module and the AI interaction engine are combined with user equipment characteristics and behavior data to dynamically adjust page layout and generate a personalized strategy; the multi-network collaborative optimization layer promotes functional complementation, content adaptation and video propagation optimization. The problems that a traditional system is scattered in data, poor in collaboration and insufficient in intelligent interaction are solved, and the continuity of user cross-end experience is remarkably improved.

The invention discloses an AUTOSAR development configuration system and method based on a Docker container, and the system comprises an interaction layer container which is used for the interaction between the system and a user, and comprises a user interface, an authority management interface, a configuration management interface, a code generation interface and a test interface; the application layer container is used for configuring and testing key functions of the AUTOSAR and comprises an authority management module, a configuration management module, a code generation module and a test module; and the output layer container is used for outputting the code file and the configuration file and comprises a code file output module and a configuration file output module. According to the invention, the problems of strong environmental dependence, high resource occupation, complex version management, low deployment efficiency and the like of the existing AUTOSAR development configuration tool can be improved.

The present invention belongs to the technical field of artificial intelligence model management. The present invention discloses a multi-scenario and multi-base large model engine system, which includes a front-end interaction layer, a business function layer, a core technology layer, and a bottom support layer. The front-end interaction layer is used to provide access methods, interface protocols, permission management, and log recording. The business function layer is used to meet the core business requirements of multiple scenarios in the financial industry. The core technology layer includes a multi-task instruction fine-tuning platform, a large model automated evaluation platform, and a large model management platform. The present invention can dynamically match the optimal model and efficiently execute tasks. Through the multi-task instruction fine-tuning platform and the automated evaluation platform, the model performance can be continuously optimized, the efficient utilization of model resources can be realized, and at the same time, the accuracy and response efficiency of business processing can be improved.

Systems and methods are provided to facilitate user interaction with AI models. For example, guided sessions turn user requests into workflow steps, that enable optimization at each step. In other aspects, an interaction layer or component can be configured to manage interactions with AI models that are tailored to the requesting user (e.g., via curation agents or components) or tailored to a context identified during an interactive session. These interactive / guided sessions expand on the functionality to account for and / or encompass perspectives associated with source and / or generated content. Many AI models are known to be biased among other issues. The system can manage bias using context information. Leveraging context information, the system provides insight and associated context to eliminate the bias from outputs returned, and / or even enhance the bias of outputs returned as desired, among other options. AI models can be provided as curators having specific characteristics that constrain outputs.

The invention discloses a configurable Modbus protocol analysis and simulation system which comprises a hardware supporting layer, a hardware interface layer, a software core layer, an application interface layer and an application interaction layer from bottom to top. The hardware supporting layer provides hardware resources for the software core layer through the hardware interface layer; the software core layer outputs a processing result to the application interaction layer, the application interaction layer issues a user configuration instruction to the software core layer, and the software core layer and the application interaction layer interact through the application interface layer. The software core layer comprises a configuration module, an analysis module and a simulation module which are mutually connected in pairs; the configuration module generates a configurable file based on the configuration instruction, stores configuration parameters and sends the configuration parameters to the analysis module and the simulation module; the analysis module analyzes the Modbus message based on the configuration parameters and sends an analysis result to the simulation module; and the simulation module executes simulation based on the configuration parameters and the analysis result. The method has the advantages of high configuration flexibility, strong compatibility, rich data type support and the like.

The application discloses an embodied intelligent Agent system for an industrial scene and an implementation method thereof, and the system comprises: a user interaction layer: used for providing diversified interfaces and communicating with a backend service through an API gateway; an embodied intelligent layer: used for adopting a micro-service architecture based on container arrangement to realize task management, task planning and resource scheduling functions; and a physical device layer: used for integrating with the upper layer system through an industrial Internet of Things protocol and processing time-sensitive applications by adopting an edge computing technology; wherein the user interaction layer and the embodied intelligent layer are bidirectionally connected, and the embodied intelligent layer and the physical device layer are bidirectionally connected. The application can independently perform a series of operations such as order analysis, material planning, production planning, task distribution, material preparation, production execution, quality control and abnormality processing, greatly reduces manual intervention and improves production efficiency.

This invention discloses an intelligent attendance management system, characterized by comprising a data interface layer, a data processing layer, and an interaction layer. The data interface layer flexibly defines and generates structured attendance cycle rules through a dynamic cycle adaptation module, and synchronizes and standardizes raw attendance data from multiple external data sources through a raw data acquisition module. The data processing layer uses a multi-source data fusion module to resolve data conflicts according to hierarchical adjudication rules, and uses a cross-cycle calculation module to segment cross-cycle events according to cycle rules, and an anomaly judgment module to perform compliance checks and generate result records. The interaction layer provides a visual operation interface and implements role-based fine-grained access control through an identity recognition login unit. The advantages are that it solves the problems of rigid cycles, multi-source data conflicts, cross-cycle event calculation errors, and numerous invalid reminders in traditional attendance systems, thereby improving the accuracy, authenticity, and efficiency of attendance management.

This invention discloses a system and method for implementing data read-write separation in a computer. The system includes setting up multiple database read operation layers and database write operation layers in the data interaction layer, and setting up multiple read databases and write databases in the database layer. By using the Spring Boot framework, a mapping relationship is established between the database read operation layers and database write operation layers in the data interaction layer and database layer and the read databases and write databases, so that read and write operations are implemented independently according to different data links and processes. This overcomes the problems in the prior art that cause the system to run slower, the user experience to deteriorate, the user to churn, and various problems related to the design of application system management functions as the number of front-end requests increases exponentially.

The invention provides a micro-service system. The system comprises an interface layer, a business processing layer, a data agent layer, a general logic layer, a data interaction layer and a standardization processing module, wherein the interface layer comprises a data model definition module and an exception response module; the data agent layer comprises an RPC (Remote Procedure Call) calling module and an RPC adaptation module; the data interaction layer comprises a data persistence module and an external service module; and the standardization processing module comprises a section unit, a link tracking unit and an exception processing unit. The system disclosed by the invention can be applied to complex business scenes, and the problems of data model definition deviation of different business systems, nonstandard micro-service data interaction and exception handling, system logic redundancy and the like are solved.

The invention provides a multi-modal data conversation robot interaction method, a configuration method, a terminal, a medium and a product. The method is applied to a dialogue robot comprising an interaction layer, a processing layer and a model layer, and comprises the following steps: the interaction layer establishes a session connection with the processing layer in response to user dialogue information input by a current dialogue node; initial configuration is completed between the processing layer and the model layer, and the user dialogue information is sent to the model layer; the model layer returns interaction information and multi-modal extension information to the processing layer based on preset prompt information of the current dialogue node and the user dialogue information; and the processing layer performs format assembly on the interaction information and the multi-modal extension information and then sends the information to the interaction layer in a streaming manner. According to the method, the multi-modal data interaction capability boundary of the dialogue robot is expanded, interaction of various types of data can be supported, and the requirements of different interaction scenes are met.

The invention provides a storage controller, a read-write method and a server, which can be applied to the technical field of storage. The storage controller comprises at least one multi-core processor, and each multi-core processor comprises a plurality of processing units which are connected with one another; the at least one multi-core processor is configured to sequentially control a plurality of processing units on a storage access path, receive a data transmission instruction and perform data reading and writing on a disk according to the data transmission instruction; wherein the plurality of processing units on the storage access path are configured to realize ordered communication through the host interaction layer, the cache layer, the redundant array of disks and the disk management layer according to the processing sequence of the data transmission instruction.

The invention relates to an information interaction method of a large-screen terminal, which solves the problems of deep interaction level, complicated operation, low efficiency and lack of individuation of content recommendation of the large-screen terminal in the related technology by constructing a first card area guided to interact by an AI (artificial intelligence) agent and a second card area for displaying personalized recommendation content. According to the method, long-term and short-term historical interaction data and real-time session context of a user are combined, a highly personalized content card is generated and displayed, intelligent interaction mechanisms such as hovering trigger preview, multi-mode feedback and emotion recognition are introduced, and a passive operation mode of the user is converted into an intelligent service mode of active recommendation. According to the method and the device, the path for the user to discover the content is remarkably shortened, the key operation is greatly simplified, and the convenience, the efficiency and the intelligent level of user interaction are improved, so that the overall visual experience and the satisfaction degree of the user are optimized.

The embodiment of the invention provides a page display method, system and device, and the page display method is applied to a client, and comprises the steps: determining page basic data in response to a selection instruction submitted for a target program, and sending a page rendering request to a server associated with the target program; receiving page configuration data fed back by the server for the page rendering request; rendering a function control layer according to the page basic data, and rendering an information interaction layer according to the page configuration data; and generating and displaying an interaction window page corresponding to the target program based on the function control layer and the information interaction layer.

The application relates to an FPGA design code credible generation and verification method and system based on a large language model, wherein the system comprises: a user interaction layer used for receiving input information of a user and converting the input information into standardized requirement information; an understanding and generation layer used for performing semantic analysis on the requirement information and generating a preliminary design result, the preliminary design result comprising an RTL code and a test framework; a verification analysis layer used for performing multi-stage engineering verification on the generated RTL code; a structured representation layer used for constructing a unified design intermediate representation in a system to make each stage take the same structural semantics as a benchmark; and a core control layer used for scheduling the running processes of the user interaction layer, the understanding and generation layer, the verification analysis layer and the structured representation layer. The application can improve design efficiency, reliability and engineering controllability.

The application discloses a kind of multilevel multi-physical coupling method and system for multiple program coupling, it is related to the field of multi-physical field coupling simulation calculation.Its system includes five hierarchical structures of coupling model module encapsulation layer, coupling problem manager encapsulation layer, coupling problem data interaction layer, coupling multilevel scene implementation layer and coupling infrastructure layer.The application can effectively solve the problems such as rigid coupling framework of existing multiple program coupling coupling technical scheme, difficult to unify coupling paradigm, lack of efficient multi-physical field coupling management, coupling decision and close coupling pedigree, poor adaptability of complex coupling scene, etc.by modularizing existing multiple program, systematizing coupling problem, standardizing coupling data interaction and hierarchical coupling management.

The invention discloses a data interaction method applied to an RTK host, which relates to the field of data interaction and comprises the following steps: constructing an RTK host data interaction network; when the RTK host acquires moving station data, a standard interaction data link in a standard interaction layer in a data interaction network of the RTK host is mapped to a forward interaction layer, and acquisition of the moving station data is completed through the forward interaction layer; when the moving station obtains RTK host data, a standard interaction data link in a standard interaction layer in an RTK host data interaction network is mapped to a reverse interaction layer, and the RTK host data is obtained through the reverse interaction layer; when the RTK host acquires the data of the moving station and the moving station also acquires the data of the RTK host, a standard interaction data link in a standard interaction layer in an RTK host data interaction network is mapped to a bidirectional interaction layer, and acquisition of the data of the moving station and the data of the RTK host is completed through the bidirectional interaction layer; and the security of the data in the interaction process is further improved.

The embodiment of the invention provides an infinite hierarchical management system based on a cloud collaborative table. The system comprises a data layer, an engine layer, an application layer and an interaction layer which are connected in sequence, the data layer is used for data storage and initial circulation, and providing structured data or unstructured data for the engine layer; the engine layer is used for transmitting a calculation result to the application layer according to the received structured data or unstructured data; the application layer is used for converting the received calculation result into a visual scheme and sending the visual scheme to the interaction layer; and the interaction layer is used for sending the visualization scheme to a user through the interaction layer, or receiving a user instruction sent by the user and feeding back the user instruction to the data layer. According to the scheme, the problems that in the prior art, WBS hierarchical management is insufficient in flexibility, progress calculation accuracy is insufficient, risk early warning comprehensiveness is insufficient, and resource conflict management and control timeliness is poor are solved.

The invention discloses a multi-level multi-physical coupling method and system for multi-program coupling, and relates to the field of multi-physical field coupling simulation calculation. The system comprises five hierarchical structures including a coupling model module packaging layer, a coupling problem manager packaging layer, a coupling problem data interaction layer, a coupling multi-level scene implementation layer and a coupling infrastructure layer. According to the invention, through modularization of existing multiple programs, systematization of coupling problems, standardization of coupling data interaction and hierarchy of coupling management, the problems that a coupling framework of an existing coupling technical scheme for coupling multiple programs is rigid, coupling normal forms are difficult to unify, efficient multi-physics field coupling management, coupling decision and tight coupling pedigree are lacked, and the coupling efficiency is low can be effectively solved. And the adaptability of complex coupling scenes is poor.

This invention provides an intelligent industrial operating system, a control method, and a computer-readable storage medium. The intelligent industrial operating system includes an interaction layer, an agent layer, a data layer, and an execution layer. The interaction layer receives raw instructions; the agent layer includes a main agent and multiple sub-agents, each sub-agent executing a sub-task dispatched by the main agent and returning a first execution result; the main agent's instruction decomposition module parses the raw instructions and, if it confirms that the raw instructions are inaccurate, queries the data layer for first feedback, guiding user interaction and converting the raw instructions into accurate instructions; the task decomposition module parses the accurate instructions into at least one sub-task and assigns it to the corresponding sub-agent, the sub-agent obtaining an execution result and returning it to the main agent; the comprehensive decision module integrates the first execution results of each sub-agent to generate a comprehensive execution result or a comprehensive decision instruction.

The application discloses a terminal service handling system and method fusing a large language model and an agent architecture, and the system comprises an agent scheduling layer and a user interaction layer, an artificial intelligence capability layer, a tool service layer and a data layer connected with the agent scheduling layer respectively; the user interaction layer comprises a multi-modal input interface; the agent scheduling layer comprises a plurality of constructed agents; the artificial intelligence capability layer comprises a large language model, a multi-modal model and a vector model; the tool service layer comprises a plurality of service handling tools for executing specific service operations; and the data layer comprises a knowledge base, a service database and a vector database for storing and retrieving power service related data; the application constructs a multi-agent collaborative system to realize intelligent scheduling, task allocation, exception handling and result checking of a service process.

This application provides a page resource processing method, apparatus, electronic device, and readable storage medium, belonging to the field of electronic device technology. The page resource processing method provided by this application includes: when displaying a first page, determining the interaction level of each page in the electronic device relative to the first page, wherein the interaction level is used to indicate the minimum number of operations required to switch each page to be displayed on the electronic device; and determining the page resource caching priority corresponding to each page based on the interaction level of each page relative to the first page.

The embodiment of the invention relates to the technical field of network communication, and discloses an application management method of network management equipment and electronic equipment, and the application management method of the network management equipment comprises the following steps: obtaining text information input by a user; when the character information is recognized as wrong input, generating prediction information according to the character information; generating a control instruction for controlling a target application according to the prediction information; and configuring the control instruction in at least one interaction level of the network management equipment so as to realize access authority management of the target application. According to the application, the access authority management of the application in the network management equipment can be reasonably performed according to the user input, and the stable operation of the network management equipment can be ensured.

The application discloses a CRM management method, system and device based on a large model and a storage medium, and comprises the following steps: S1, an Excel plug-in type CRM architecture is built, and a plug-in integrated data interface layer, an authority control layer, a large model interaction layer and a visual display layer are integrated; S2, a standardized template library is imported through the data interface layer; S3, user roles and authorities are configured through the authority control layer; S4, when a user inputs data through an Excel client, the data interface layer triggers preset format verification logic; S5, when multiple users edit data collaboratively, the users are automatically connected to the network to automatically execute incremental data synchronization; S6, after the user inputs natural language data analysis requirements, the large model interaction layer sends the requirements to a large model server through an API interface; S7, the large model server performs semantic understanding on the natural language requirements; and S8, a visual display layer generates an embedded business opportunity conversion funnel chart based on an Excel native Chart object and a conditional format, and the analysis results are generated. The application can realize collaborative management of customer data and business decision support.

The invention relates to the technical field of computer software, in particular to a course resource increment downloading method and system based on Unity AssetBundle, and the method comprises the steps: constructing, analyzing and referencing dependency through a resource packet topology to generate AssetBundle with a version identifier; the increment configuration file manages and associates a course ID and an AssetBundle path and marks a necessary / increment resource type; a scene triggers and downloads a response course selection layer / chapter entering layer / experiment interaction layer behavior, a necessary resource bundle is forcibly updated, and an incremental resource bundle is triggered by a user as required by providing UGUI interface elements; according to block difference updating, a resource packet is divided into 512 KB blocks to verify differences, and only server-side identification blocks are downloaded; the resource isolated storage creates a sandbox directory and generates a disk hard link. The hierarchical loading efficiency is substantially improved, the incremental transmission flow is declined, the multi-course conflict is thoroughly eradicated, and the storage reuse rate is multiplied in magnitude.