263 results about "State management" patented technology

The invention discloses an intelligent data stream processing system based on Flink and an implementation method thereof, and belongs to the technical field of distributed streaming data processing, and the implementation method comprises the following steps: a data source access layer uniformly accesses multi-source data; the entity monitoring layer captures service entity change in a non-intrusive manner based on JPA, generates a standardized message body and asynchronously delivers the standardized message body to double channels; the unified event model layer maps the data into a standardized event and expands the standardized event; the Flink stream processing engine layer is used for complex event processing, state management and window calculation, and supports declarative pipeline definition and dynamic construction; the anomaly detection layer performs multi-dimensional anomaly detection; the distributed task scheduling layer schedules tasks according to a DAG model, and realizes load balancing through hotspot splitting and state transition; and the result storage and visualization layer adopts a cold and hot separation strategy to store data, and provides a dynamic visualization interface. The real-time performance, the consistency and the intelligent level of data processing are remarkably improved, and the development and maintenance cost is reduced.

The invention belongs to the technical field of artificial intelligence, and particularly relates to a dialogue message queue management system based on a large model cluster. The system comprises a message preprocessing module, a message router, a plurality of independent priority queues, a resource scheduler, a dialogue state manager and a large model cluster. The message preprocessing module receives an external dialogue request, constructs a metadata object, allocates a priority queue tag, calculates a static score and records a timestamp; the message router distributes the request to a corresponding priority queue according to the label; the resource scheduler executes a scheduling strategy, calculates a dynamic priority score, realizes load balancing, retrieves historical context information from the dialogue state manager, combines a request and a context into a processing task and dispatches the processing task to a large model cluster; the large model cluster returns model response to the resource scheduler, and the dialogue state manager is responsible for context storage and updating. All the components of the system can efficiently process the dialogue message request through close cooperation.

The invention discloses a multi-level front-end page layout and state linkage management method and a multi-level front-end page layout and state linkage management system, which belong to the technical field of front-end development, and are characterized in that page layout is configured in a declarative manner through a JSON (JavaScript Object Notation) format, and component states are automatically managed by adopting a multi-level linkage mechanism to realize front-end The JSON configuration comprises an id field definition business logic module identifier and a struct field definition layout rule; dynamic rendering and state linkage are realized by separating the business logic and the layout structure of the component and combining a hierarchical data binding mechanism; and the child hierarchy automatically triggers state emptying or data loading operation by monitoring data change of the parent hierarchy. According to the method, the problems of high page and logic coupling degree, complex state management and poor expansibility in the prior art can be solved, clear decoupling and automatic linkage are realized, and the method is easy to expand.

The invention relates to the technical field of data processing, in particular to a code-free configurable task process type development system and method, and the system comprises a task data collection module, a process visualization arrangement module, an event binding engine module, a condition rule analysis module, a task state management module and a resource dynamic loading module. The flow visualization arrangement module generates task nodes and dependency relationship data based on a graphical interface; the condition rule analysis module is used for converting natural language conditions into verification logic capable of being dynamically called; the task state management module drives state transition according to the dependency relationship data, and the task state is atomized and updated after verification logic is called; and the resource dynamic loading module responds to the resource loading instruction to schedule external resources. Through a modularized decoupling mechanism, business personnel use a graphical interface to configure task logic, program codes do not need to be written, and the technical problems of high programming dependency and high task logic and code coupling degree are solved.

The invention discloses a multi-agent collaborative short play digital production system, which belongs to the technical field of artificial intelligence, and comprises a data and state management module driven by a digital thread, which uniformly manages and synchronizes data, states and decisions of all production links through a throughout digital thread; the full-process intelligent production module takes an intelligent control center as a core, decomposes and dispatches a complex task to five professional intelligent agents for cooperative execution, and covers a complete production link from script generation, visual preview, video shooting and special effects to intelligent editing and final sound and picture synthesis; the man-machine collaborative evaluation and feedback closed-loop module provides an interactive interface for human experts to supervise, guide and correct key production nodes and records artificial decisions as feedback to form a closed loop of a continuous optimization system; according to the multi-agent collaborative short play digital production system provided by the invention, the digital thread penetrates through multi-agent collaboration, so that data tracing and state synchronization of the whole process of short play production can be realized, challenges such as narrative continuity, cross-modal consistency and physical authenticity are effectively solved, and the quality of generated content and the production efficiency are remarkably improved.

The invention relates to the technical field of front-end application development, in particular to a micro-front-end architecture-oriented cross-application state management, style isolation and resource collaborative loading method, which comprises the following steps of: constructing a state management module, establishing a unified state communication protocol based on a publishing / subscribing mode, and realizing safe state synchronization through an authority control mechanism; a style isolation module is constructed, a Shadow DOM and CSS rule rewriting double isolation strategy is adopted, dynamic style elements are automatically processed, and the problem of style pollution is thoroughly solved; constructing a resource coordinator module, and realizing dependent intelligent management and multi-version coexistence based on semantic version specifications; and the configuration management center uniformly coordinates the work of each module. According to the method, safe communication, reliable isolation and efficient resource utilization between micro front-end sub-applications are realized, three core problems of difficult state management, pattern conflict and resource redundancy in the prior art are solved, and the maintainability, the stability and the development efficiency of a large front-end project are remarkably improved.

The invention discloses a low-code platform design system based on modularization and a dynamic extension component, and relates to the technical field of low-code development, and the system comprises a form module which is used for standardly defining a data model and dynamically rendering a user interface, realizing unification of form configuration through a structured metadata specification, and establishing a form module; bidirectional binding of the view and the data model is realized; the process module is used for realizing modeling, execution and state management of a business process, supporting automatic task scheduling and multi-instance management based on standardized process elements, and keeping consistency of a process state through an increment synchronization mechanism; and the data processing module is used for cooperatively managing platform data resources, supporting dynamic expansion and decoupling dependence between the form module and the process module through an event-driven mechanism. According to the method, the strong binding relationship between the decoupling form and the process is established, the reusability of the process module is improved, and the process module is independent of the form and can independently provide API service to the outside, so that the method is adaptive to more business scenes.

The invention discloses a multi-agent cooperative task method and device based on a hierarchical task mechanism, and relates to the technical field of artificial intelligence, and the method comprises the steps: carrying out the hierarchical abstraction based on a task space of a target domain, obtaining a plurality of hierarchies, configuring a corresponding agent and a tool for each hierarchies, constructing a state management mechanism to manage intermediate data among a plurality of hierarchies; in response to target information input by a user, decomposing and planning a target task by using a plurality of mutually associated hierarchies to obtain a directed acyclic graph of the target task; calling and executing the subtasks corresponding to the nodes from bottom to top based on the directed acyclic graph so as to complete the target task; and integrating a completion result of the target task and then rendering the result to a user interface. The problem that an existing intelligent agent system is difficult to meet the requirements of complex fields with highly structured and hierarchical features is solved. A more efficient, accurate and robust scheme can be provided for complex tasks with highly structured and hierarchical features.

The invention discloses a robot dynamic voice interaction method based on multi-modal state management, and belongs to the technical field of intelligent robots, and the method comprises the steps: S1, collecting multi-modal instruction data inputted by a user; s2, carrying out data processing on the multi-mode instruction data, and then generating an input text packet with an environment context mark; s3, performing intention analysis on the input text packet, and binding the input text packet with a historical context to generate an intention vector; s4, updating the environment matrix in real time through the intention vector; s5, dynamically calculating the task weight W through the updated environment matrix, and dynamically adjusting the priority of each task; and S6, calling a corresponding function module according to the priority of each task through a plug-in interface, and executing the corresponding task, so as to achieve the purposes of realizing cross-scene context continuity, multi-task priority dynamic scheduling, supporting hot plug function extension and having active abnormal interaction capability.

The invention relates to the technical field of front-end development, in particular to a Vue-based intelligent operation component system, which comprises a processor, an operation definition module, an operation rendering module, a data processing module, a state management module and an operation management unit, and is characterized in that the operation definition module is connected with the processor, the operation rendering module is connected with the operation definition module, and the data processing module is connected with the state management module; the data processing module is connected with the operation rendering module and the processor, the state management module is connected with the data processing module and the processor, and the operation management unit is connected with the processor and the operation definition module; in this way, the technical problems that in Web front-end development in the prior art, interactive operation is scattered, styles are inconsistent, maintenance is difficult, and development efficiency is low are solved.

The invention relates to the technical field of front-end development, in particular to a method and a system for generating a multi-end table data display page. Comprising a table definition module, a table rendering module, a data processing module, a function extension module and a state management module, the table definition module is used for finely defining the structure and behavior of a table, the table rendering module is used for converting the configured table definition into a multi-terminal adaptive visual interface and optimizing rendering performance and interactive experience, and the data processing module is used for efficiently processing table data and carrying out format conversion, cache management and paging loading. The function expansion module provides flexible function expansion capability and meets interaction requirements of complex business scenes, the state management module uniformly manages interaction states of tables and ensures consistency and persistence of multi-terminal operation, and by means of the mode, the problems that table components are limited in function, insufficient in performance and poor in expansibility are solved, and the user experience is improved. Therefore, the table component has good multi-terminal adaptation capability and can meet complex business requirements.

The invention discloses a React Native-based cross-platform Bluetooth communication unified implementation method and system, and relates to the technical field of computers.The method comprises the steps that Bluetooth communication middleware is constructed, and a native Bluetooth interface is packaged; acquiring target equipment by adopting a multi-round scanning strategy of progressive increase timeout retry and combining with an equipment name keyword filtering and Map duplicate removal mechanism; dynamically negotiating an MTU value based on a device type, fragmenting long data according to MTU-13, and ensuring ordered transmission of the data through a sending queue, ACK confirmation and timeout retransmission; defining a standard data frame containing a prefix, a packet sequence, a data type, CRC (Cyclic Redundancy Check) verification and an ending identifier, and analyzing data through buffer area accumulation and integrity detection; the state management module is used for maintaining the equipment connection state and historical records, and automatic disconnection prompting, reconnection and UI navigation resetting are achieved; according to the invention, centralized Bluetooth connection, disconnection, reconnection and other functions can be processed, so that the stability of Bluetooth communication and the integrity of data are improved.

The invention discloses a visual cabinet based on JavaScript and Vue.js. A modularized architecture based on Vue is adopted to split a cabinet, equipment and a U bit into reusable UI components, the UI components comprise a cabinet component, an equipment component and a functional module, and the cabinet component is formed based on Rack.vue; the equipment component is formed based on Server Unit.vue, and is used for rendering different icons and status indicator lamps according to equipment types and supporting dragging to adjust the position of a U bit; the function module comprises a front-end framework, a UI (User Interface) library, a state management sub-module, a dragging library and a rear-end interaction sub-module; the front-end framework is Vue 3 Compression API (Application Program Interface) composite TypeScript, the UI library is composed of an Element Plus basic component and SVG / D3. Js used for customizing graphs, the state management sub-module is Pinia, and the drag library is Vue Dragable or native HTML5 dragmp; and the Drop API and the rear-end interaction sub-module are formed by compounding Axios with a WebSocket used for pushing real-time data. The invention further discloses a creation method. The method comprises the following steps: creating an overall skeleton based on HTML; rendering and beautifying the style based on the CSS; various operations are performed, the remaining capacity is automatically calculated, and machine information is displayed for verification.

The invention relates to the field of electric digital data processing and artificial intelligence session systems, and discloses a dynamic intention recognition and multi-agent seamless switching session system and method based on a large language model, and the system comprises an LLM central routing module, an agent session state management module and a cross-platform agent adapter pool. The intelligent agent session state management module defines a main context heap in a physical memory and manages a memory address of a private context block, the LLM central routing module maintains an active context pointer, and session switching is achieved by redirecting the pointer to a target memory address. Therefore, the problems of system delay and resources caused by high-frequency I / O (input / output) are avoided.

The invention relates to a high-concurrency real-time dialogue state tracking and context management method, and belongs to the technical field of natural language processing and human-computer interaction. The method comprises the following steps: firstly, unifying multi-modal input into standardized semantic representation; then fusing the historical context and external knowledge to perform semantic analysis; the state change triggered by analysis is packaged into an event and the event is published to a distributed log; an independent service asynchronous consumption event is used for atomic updating of a global state through version control and an optimistic lock mechanism; the read-write performance is improved through multi-level cache and incremental compression; meanwhile, streaming maintenance is based on a long context of a graph, and resources are optimized through life cycle management. Through unified semantic representation, event-driven state management, long context modeling and optimistic concurrency control, a closed-loop collaborative system is constructed, and the concurrent processing capacity, context coherence and response robustness of a dialogue system are remarkably improved.

The invention discloses an intelligent complex intention recognition method and system based on a large model, and the method comprises the following steps: (1) carrying out the preprocessing of user input data, and recognizing and marking a plurality of intentions; (2) when the intention quantity is greater than a preset threshold value, triggering a reasoning process; (3) acquiring a context record and historical state information of the current session; (4) dynamically generating and optimizing a prompt text based on the intention, the context and the historical state, and inputting the prompt text into a large language model for reasoning; (5) storing a reasoning result to a state management system and a context storage system; (6) distributing the reasoning result to a single-round semantic module and terminal equipment, and obtaining an intermediate state result; (7) integrating intermediate state results to form structured data, and feeding back the structured data to a prompt management module after natural language conversion; and (8) iteratively executing the steps (4)-(7) until a final reasoning result is output and issued to the terminal equipment.

The invention belongs to the field of computer software and system maintenance, and particularly discloses a software state management and upgrading method and system supporting multi-mode deployment, and the method comprises the steps: collecting a service operation state and resource use data of software, carrying out the comprehensive research and judgment of the service operation state, storing the service operation state, and carrying out the service restart based on a research and judgment result; receiving the software package, calculating a check code of the software package, and storing and recording the information data of the software package, the check code and the storage path in a database based on a preset path; a software upgrading instruction sent by a front end is received, the storage path of the target software package and the stored check code are obtained from the database, and the integrity of the target software package is checked; and deploying the target software package to a specified path, recording upgrading information, and closing the old version service to start the new version service. The operation and maintenance efficiency and safety of software management can be improved.

The invention provides a label flow batch calculation and arrangement assembly method and device based on a trusted data space. Based on a trusted data space base, business index logic is abstracted into a reusable operator through a logic plan and physical execution decoupling mechanism, and optimal allocation of calculation tasks is realized in combination with a flow batch uniform resource scheduler; and meanwhile, an incremental state management engine is introduced to ensure the data consistency in a stream batch mixed scene, the label query service of millisecond-level response is realized, compared with a traditional scheme, the resource consumption is effectively reduced, and real-time label production and second-level updating under a large data volume are supported.

1. Name of the product of this design: Sample status display portion of the graphical user interface for sample management of an analyzer of an electronic device. 2. Purpose of this design product: an electronic device. 3. The key design point of this design product lies in the graphical user interface. 4. The picture or photo that best illustrates the key points of the design: Main view of Design 1. 5. Designate Design 1 as the base design. 6. Purpose of the graphical user interface: The overall interface is used for sample application and status management of the analyzer operation program; the local interface is used for different status display and operation of samples. 7. Human-computer interaction method of the graphical user interface: The main view of Design 1 shows the interface displayed after multiple test tubes are selected at the same time. In this interface, clicking any circle with the mouse can select a different test tube; clicking any of the six boxes in Part A can switch. The human-computer interaction method of Design 2-Design 8 is the same. 8. Other situations that require explanation: The red semi-transparent area in the interface indicates the unprotected part; the "X" in the interface represents text.

The invention relates to the technical field of computers, in particular to a front-end interaction method based on artificial intelligence, and the method comprises the steps: obtaining a user input instruction through a first communication channel, sending the user input instruction to a rear-end agent for communication service, and receiving a response data stream fed back by the rear-end agent through a second communication channel. The method comprises the following steps: performing response type state management through a response data stream to update dialogue state information, performing asynchronous streaming processing on the updated dialogue state information, generating display content word by word, performing analysis rendering according to the display content to obtain rich text content, and performing interface updating of a dialogue display area through the rich text content. And the dialogue message corresponding to the rich text content is displayed in the user interface, so that the front-end response and interaction efficiency is improved, and the resource consumption load is reduced.

The invention provides a multi-task switching processing method and system for an intelligent terminal, and the method comprises the steps: obtaining application operation data and system memory data of the intelligent terminal, carrying out the starting application classification of the intelligent terminal, and obtaining an application state management table; performing resource pre-allocation on the application state management table based on the available system resource amount of the intelligent terminal and a user operation event to obtain resource scheduling information; identifying a task switching parameter of the user operation event, and constructing a state switching instruction for a target application in combination with the resource scheduling information; and performing task rendering and process scheduling on a target application of the intelligent terminal according to the state switching instruction to obtain task switching information. According to the application, the task switching parameter of the user operation event can be identified, and the state switching instruction is constructed for the target application in combination with the resource scheduling information.

The invention discloses a voice-driven interface interaction system and method based on task-based dialogues, belongs to the technical field of artificial intelligence, and aims to solve the technical problems of how to improve the ability of a BERT model to understand problems in the field of emergency disposal and how to improve the accuracy of answer generation. Comprising a voice recognition module used for converting user voice into text data; the intention recognition module is used for carrying out feature extraction and intention recognition on the text data through a pre-trained intention recognition model, and the intention recognition model is a BERT-Attention-CRF combined model; the interface mapping module is used for mapping the identified user intention into a corresponding target interface jump instruction or operation instruction according to a preset task type dialogue state management and interface jump logic mapping relation; and the page skipping module is used for executing the target interface skipping instruction or operation instruction and driving the interface to complete response operation.

The invention relates to a traditional equipment intelligent control system based on cloud data processing and a multi-terminal adaptation technology, and belongs to the technical field of intelligent control of the Internet of Things. The system is characterized in that a multi-terminal fusion control terminal adapts to multiple terminals through a cloud edge collaborative cross-form interaction interface, converts heterogeneous instructions, synchronizes data and automatically adapts to interface layout; the heterogeneous device communication adaptation unit constructs a cloud collaborative multi-protocol conversion mechanism, dynamically learns a newly added device protocol, prejudges a link abnormality and switches a standby protocol; the scenarized control logic unit supports visual scene definition, integrates external environment data expansion trigger conditions and issues a combined control instruction; and the equipment state management and feedback unit cooperatively collects parameters, calculates a health degree score and dynamically pushes information. Cross-terminal intelligent control, multi-protocol adaptation and stable communication of traditional equipment are realized, and equipment management and control efficiency and user operation experience are improved.

The invention discloses a cross-platform code generation method and device, equipment and a medium, which are used for improving the multi-end application development efficiency based on a unit-app framework, realizing automatic generation from visual design to multi-end source codes, and solving the problem that an existing low-code tool is insufficient in capacity in the aspects of complex business logic, multi-platform adaptation and engineering output. The method comprises the steps that interface construction, logic configuration and data binding operation of a user are received through a visual designer, and structured JSON metadata describing a target application structure and behavior is generated; analyzing the structured JSON metadata through a cross-platform component template engine, and combining a platform rule base, a business logic template base and a preset code optimization strategy to generate a source code according with a unii-app multi-terminal specification; and according to the source code, outputting a complete unit-app project directory comprising a Vue component, a state management module, a platform configuration file and a construction script.

The application relates to a lightweight robot process automation method based on a browser extension and belongs to the technical fields of robot process automation and browser plug-ins. The method comprises the following steps: initializing a drawing environment, preprocessing a node style, binding an input event to construct an interaction mechanism; communication is established through an event bus, an interface is constructed through a dynamic form component, instructions are encapsulated and syntax verification is performed; a command data format is defined, after syntax and semantic verification, the command data format is converted into executable code by an intermediate code generator, and error feedback visualization is supplemented; a content script is used to access a monitoring webpage DOM, an element operation and RPA instruction mapping library are established, and automatic conversion of a capture result into an instruction is realized; a lightweight execution kernel is realized through intermediate code acquisition, a process is monitored in an asynchronous non-blocking mode, and execution state global sharing and real-time updating are realized through a state management library. The lightweight architecture design of RPA, high-performance interaction optimization, intelligent process configuration and precise execution monitoring are realized.

The invention provides a task scheduling method and device and a storage medium, and the method comprises the steps: determining a plurality of task groups and the expected execution time of each task group according to a mode demand inputted by a user; traversing each task group, determining the waiting time of the current task group according to the expected execution time of the current task group for the traversed current task group, and storing the current task group to the target storage object according to the waiting time of the current task group; and the time wheel runs, and the task group in the time wheel is executed when the time wheel runs. According to the method, task scheduling and state management can be separated, task scheduling and state management can be cooperatively controlled, the scheduling performance and the scheduling reliability are considered, in the scheduling process, unified scheduling is carried out through the time wheel according to a fixed time unit, and the scheduling efficiency can be improved while flexible and refined task scheduling is realized. It is avoided that a thread is independently created for each task group, thread resources are saved, and the scheduling efficiency and the response efficiency are improved.

The invention relates to the technical field of intelligent interaction, in particular to an intelligent interaction system for exhibition display and conference service. The system is composed of a multi-source sensing module, a scene recognition and state management module, a user portrait engine, an intelligent decision engine, a content dynamic generation and scheduling module, a multi-mode interaction output module, a cross-terminal collaboration module and a data storage and analysis module. According to the intelligent interaction system for exhibition display and conference service provided by the invention, discrete exhibition display functions and conference service requirements are integrated on a unified platform, so that the technical barrier of two types of scenes is broken, and the information transmission efficiency and the user experience are improved.

The invention provides a method for searching a longest circuit link based on a layer connection file, and the method comprises the steps: constructing a bidirectional connected graph model based on all layers and connection relationships in the layer connection file; traversing the graph model by adopting an improved depth-first search algorithm to search for a longest path; the improvement comprises the following steps: managing via hole layer nodes and physical layer nodes as access states together, and executing complete backtracking containing the states; and after all traversal is completed, outputting the finally obtained longest path. According to the method, the complex topology can be robustly processed and the longest circuit link can be accurately extracted by constructing the bidirectional connected graph model and bringing the via hole layer into a complete backtracking mechanism of state management.

The invention discloses an uncertainty analysis method and device for a nuclear power mechanism model, and the method comprises the following steps: S1, selecting function modules from a function library according to the logic sequence of uncertainty analysis tasks, and constructing a function flow; s2, each function module defines an input interface and an output interface based on a unified shared data model, business data is automatically transmitted among function flows based on the shared data model, the reliability of business data transmission is ensured by utilizing intermediate storage and state management, and the business data state is updated in real time; s3, binding a triggering relationship among the functional modules of the functional flow through an event bus, sequentially triggering the functional modules, and automatically executing an analysis task; and S4, decoupling the function flow, and combining the function flow into a service through an API (Application Program Interface) to realize multiplexing of the function module. The uncertainty analysis method provided by the invention is high in data continuity and high in operation concentration.