27 results about "Autocomplete" patented technology

The application discloses a kind of structural member manufacturing feeding configuration data automatic generation method, comprising the following steps: S1: obtaining the process rule of structural member manufacturing;S2: import and parse structural three-dimensional model, extract the geometric feature information of component;S3: based on geometric feature, component is automatically identified and name mapping, and the interactive selection of component is carried out;S4: based on process rule and component structure relationship, execute component allocation and generate component allocation result;S5: based on component allocation result and tray loading capacity constraint, tray allocation planning is carried out;S6: according to component allocation result and tray allocation result, generate feeding group data and standardize export.This application compared with prior art has the advantages that: provide a kind of structural member manufacturing feeding configuration data automatic generation method and system for component allocation and feeding configuration data generation are conveniently and automatically completed.

This invention discloses an intelligent self-healing system and method for operation and maintenance based on an LLM Agent, belonging to the fields of information technology and operation and maintenance automation technology. The system includes a data acquisition and preprocessing module, a rule scheduling module, a large language model intelligent agent module, a work order generation module, and an approval and execution module. It collects and standardizes multi-source monitoring data through dual channels, and the rule scheduling module intelligently distributes data according to single alarm or multi-alarm aggregation conditions: simple scenarios directly trigger the automatic operation and maintenance mechanism; complex scenarios submit the alarm context and predefined operation types to the LLM Agent to output optimal execution parameters. The work order generation module automatically generates work orders; the execution engine automatically completes the repair operation. This invention solves the problems of rigidity in traditional rule engines and the uncontrollability and difficulty in integration of pure AI models, achieving an end-to-end self-healing closed loop that balances security and intelligence, significantly improving the automation coverage and decision-making accuracy in complex scenarios.

The application discloses a kind of based on real scene can cross software's software operation mixed interactive help method and system, including extracting electronic equipment software information, button information, generate corresponding training data;And pre-constructing using deep learning based on real scene semantic understanding can cross software's software operation mixed interactive help model, according to question information, input software operation mixed interactive help model, output each semantic analysis result's ranking score, select one or more semantic analysis results as user problem understanding result, provide interactive operation help for user, including step-by-step prompt or automatic completion button click operation.The application greatly widens the problem solving range of software operation interactive help system based on real scene semantic understanding, improves the convenience and problem solving efficiency, solves the problem that user uses general help instruction is not intuitive, enhances the good experience of user using product.

We provide the system. [Solution] A means of generating a user profile using information collected from users, A means for collecting product information from external sources of product information, evaluating the reliability of said product information, and filtering it, A means of matching user profiles with filtered product information to select products that match the user's criteria, A means of presenting selected product information to the user and providing an interface that allows for detailed comparison, A means to automate the reservation process based on the user's reservation intention, A means of updating inventory information in real time, A system that includes this.

The embodiment of the specification provides a test method, which can be executed by a host computer and used for testing a message filtering function of a target controller in a device under test. When the method is implemented, current register information of the target controller is automatically acquired after a target test case is executed, and a target ID range is determined according to the register information. Then, based on test information such as the actual received message and the target ID range, the filtering function test is automatically completed. The method can automatically configure the controller through register configuration information in the test case, and automatically acquire the register state after the test, so that full-process automation is realized. This avoids errors, delays and interruptions that may be introduced by manual configuration, reading records and result checking, and significantly improves the continuity, efficiency and accuracy of the test process.

This application discloses a script toolchain, a development method for automotive functional safety projects, an electronic device, and a program product. The script toolchain includes: a user interface module for users to perform development operations on target functional safety modules through a visual interface; a user interface control module for calling preset script tool source code based on user development operations; and a script tool source code module including at least two sets of script tool source code corresponding to at least two functional safety modules. The at least two sets of script tool source code are used to automatically complete the development of the target functional safety module in response to the calling instructions from the user interface control module. Using this script toolchain for automotive functional safety project development, users only need to select the functional safety module to be developed in the user interface module, and the user interface control module can then call the corresponding script tool source code from the script tool source code module to automatically complete the development of the target functional safety module.

This invention provides a fully automated pipetting system based on programmable logic, comprising a functional terminal, a programmable terminal, a programming module, an execution module, and a data storage unit. The programming module is used to configure the experimental procedure, bind parameters, and perform logic verification in a graphical user interface, and compile the experimental procedure into an engineering metadata file. The execution module is used to parse the engineering metadata file and generate an executable engineering data file, driving the pipetting device to automatically complete tip changing, liquid collection, and liquid discharge operations according to a preset procedure. This invention integrates experimental process modules such as temperature control and oscillation control into the programmable terminal, enabling the sample addition conditions in the reagent zone, mixing zone, and target zone to be uniformly configured and executed under the same software logic. Furthermore, the oscillation time parameter can be set as needed according to the experimental plan, thereby maintaining consistent experimental conditions during multi-zone, multi-stage pipetting processes and effectively reducing the impact of environmental fluctuations on experimental results.

The present disclosure provides a declarative workflow generation method and system for AI programming, an execution method and system, and relates to the technical field of computers. The present disclosure intelligently and automatically completes the intention understanding, node matching, dependency analysis, parameter configuration generation, multiple verification and optimization of the task description sentence by receiving the task description sentence, realizes the end-to-end automatic generation from the task description sentence in natural language to the workflow, does not need to rely on manual experience, greatly reduces the workload of manually configuring the workflow, reduces the generation cost of the workflow, and improves the efficiency, accuracy and stability of the workflow generation.

A computer-implemented system and method enable real-time healthcare transaction processing based on ambient audio captured during physician-patient conversations. The system includes one or more microphones to receive spoken dialogue and a speech recognition engine to transcribe the audio into text. A natural language processing module analyzes the text to identify clinical intents corresponding to healthcare transactions. The identified intent is standardized into a structured query format and transmitted to an external system via a communications interface. In response, the system receives external data such as insurance coverage status, cost estimates, or authorization requirements. A user interface displays the external response in real time during the clinical encounter, allowing the physician or patient to make informed decisions. Additional modules may include context monitoring logic to suppress non-actionable utterances and a secure storage engine to log queries and responses. The system automates insurance verification and authorization workflows without requiring manual data entry.

The application discloses an intelligent auxiliary generation method and system of an administrative punishment case file. The method adopts a three-column parallel layout in a document preparation interface: left navigation, middle editing, and right intelligent review. When a user edits, the system analyzes the content in real time based on a rule base, classifies and displays the review results in the right area, and provides a contrast view of the original text, modification suggestions, and risk explanations for each result, as well as 'position original text' and 'accept revision' function keys. The user can adopt the suggestions with one key and automatically complete the correction. The application deeply embeds intelligent review in the document writing process, and realizes real-time guidance and efficient improvement of the quality of the case file documents through intuitive interaction design.

This invention discloses an intelligent document batch processing system and method based on a large language model, belonging to the field of intelligent document processing technology. Addressing the problems of high local deployment costs, weak fault tolerance, and poor adaptability in existing technologies, it adopts cloud-based service deployment. Through collaboration between a local intelligent scheduling engine and a cloud-based large language model, it integrates core technologies such as multi-level JSON fault tolerance repair, multi-mode PDF text extraction, and cross-domain adaptive configuration. Users configure custom fields and prompt word templates through a graphical interface, and the system can automatically complete batch document extraction, API calls, anomaly repair, field validation, and structured output. This solution significantly lowers the technical threshold, requires no high-performance hardware, and is suitable for multiple fields such as scientific research, medicine, education, and finance. It significantly improves the reliability, efficiency, and flexibility of document processing, and is applicable to the intelligent organization and information extraction of massive amounts of literature.

The application relates to the technical field of artificial intelligence, in particular to a customer service reply method and system of a multi-modal fusion architecture and a storage medium, the method comprises the following steps: obtaining initial input data of a user, preprocessing the initial input data to generate a standard data source; performing decision compliance analysis on the standard data source to generate a decision judgment result; and generating a corresponding decision scheme according to the decision judgment result. Through a space-semantic double-constraint graph network, the application effectively solves the technical defects of fragmentation of multi-modal data recognition and low standardization degree of traditional intelligent customer service, overcomes the problem of insufficient adaptation of general recognition technology to government affairs formats, in the semantic constraint dimension, relying on the node association mechanism of the graph network, the spatial features are deeply fused with the government and enterprise professional semantic dictionary, the conversion of multi-modal data to structured policy elements is automatically completed, and the recognition accuracy is improved by more than 40% compared with traditional NLP technology.

A device, system and method for providing a hybrid command line is provided. The device provides, at a display screen, a command line in association with a page defined by a document object model that includes metadata defining available natural language (NL) based commands for the device and / or the page. Partial text, received at the command line according to an NL-based format, is used to populate an autocomplete list of NL-based commands, mapped to corresponding server-compatible commands, and filtered by the metadata. An NL-based command is selected from the autocomplete list is provided to a server which converts the NL-based command to a corresponding server-compatible command. Results from the server are provided at the display screen in a graphical format which include graphical selectable options which, when selected, cause corresponding commands to be provided to the server in a server-compatible and / or NL-based format.

Systems and methods for generating dynamic conversational recommendations. Conversational recommendations include communications between a user and a system that may maintain and / or facilitate (e.g., via autocomplete functionality) a conversational tone, cadence, and / or speech pattern of a human during an interactive exchange between the user and the system. The system may use artificial intelligence applications to generate suggested dynamic conversational recommendations based on initial user inputs (e.g., such as autocomplete functionality).

This invention relates to the fields of software engineering and artificial intelligence, and particularly to an automated management system for the entire software development lifecycle, including a requirements analysis and architecture design module, a development and testing integration module, a deployment and operation monitoring module, and a visual management module. In the requirements phase, the invention performs semantic parsing of natural language requirements to generate structured documents, intelligently matches historical architecture patterns, and establishes a two-way traceability relationship. In the development and testing phase, it automatically generates code frameworks and test cases, performs incremental code review based on a defect prediction model, and automatically completes log cleaning, fault location, root cause analysis, and defect ticket closure when tests fail. In the deployment and operation phase, it intelligently generates canary release strategies, constructs a digital twin operation model, and enables multi-dimensional tracing and rapid handling of operational anomalies. This invention breaks down data barriers throughout the entire process with a unified digital mainline data layer, significantly improving software development and delivery efficiency and system operational stability.

This invention discloses a multilingual intelligent interactive processing system, relating to the field of data processing, comprising: a collection module for collecting text speech data sent by each interactive subject in a group chat scenario, and simultaneously acquiring the unique identifier of the corresponding speaker, the speech time sequence marker, and the subject's interface language configuration information; and a statistics module for sorting the collected text speech data according to the speech time sequence, and simultaneously calculating the interface language type and total number of all interactive subjects in the group chat. This invention performs real-time intelligent adaptation processing for multilingual interaction in group chat scenarios, accurately matches the interface language configuration of different users, automatically completes the multilingual synchronous conversion of speech content, breaks down language communication barriers in group chats, and allows users of different languages ​​to receive native-language interactive information, thereby improving the communication efficiency of cross-language group chats.

Private and secure autocomplete suggestions are enabled based on a user contacts database, even when an application has not been granted access to the user contacts database. A keyboard process can receive and display suggestions based on input provided via the keyboard. The suggestions are generated based on a contacts database of a user. The suggestions are generated without exposing the contacts database to the application. Suggestions are then displayed to the user without exposing the suggestions to the application. Once a suggestion is selected by a user, the selected suggestion is provided to the application for insertion into a text field.

The application discloses an integrated simulation test method and system based on a large language model, and belongs to the technical field of simulation test. In order to solve the technical problem that each link in the existing simulation test method cannot realize automatic task unified arrangement, and leads to low simulation test efficiency. By integrating a knowledge graph database, a large language model, a knowledge graph, a modeling tool and a simulation platform, an integrated simulation test method and system capable of automatically completing a whole test process from a natural language requirement is constructed. The natural language test requirement document is taken as a starting point, and the simulation test is completed in the same system, without needing to switch different platforms and tools, and the simulation test efficiency is improved. The application is mainly used for integrated simulation test.

A system and method for remote interaction between law enforcement and drivers, including a system and method for creating electronic citations, facilitating remote communication between law enforcement and drivers, and remote adjudication of traffic citations. The system and method comprise a remotely connected network of computer devices, databases, and a central computer processer. The system and method enable law enforcement to input, via the law enforcement officer's computer device, all information necessary to create an enforceable citation. The system and method autocomplete portions of the citation and makes it quicker and easier for law enforcement officers to issue citations, and for drivers to adjudicate citations.

The application discloses a file generation method and device, a storage medium and an electronic device. The file generation method comprises the following steps: converting content source data based on a lightweight markup language into an abstract syntax tree; obtaining a resource path list according to the abstract syntax tree and configuration parameters of a target deployment platform, wherein the resource path list comprises resource paths suitable for the target deployment platform; rendering a hypertext markup language-based web page document according to the abstract syntax tree and the resource path list; and generating a static file for performing deployment on the target deployment platform according to the resource path list and the web page document. The application can automatically generate a directly deployable static file based on Markdown text, and can automatically complete path adaptation and file processing without complex configuration and manual operation by a content creator, thereby improving the generation efficiency from content source data to a deployable static file and improving the content publishing efficiency.

This invention discloses a method, system, and storage medium for parametric modeling and dynamic modification of equipment. Equipment parameter data is serialized and stored in an extended dictionary of CAD blocks. Leveraging the shared lifecycle of the extended dictionary and block objects, business parameters are physically bound to the block, eliminating the physical basis for separating data and graphics. This allows modification commands to directly apply to the data inherent in the block. Secondly, a modeling engine is introduced. The equipment parameter data to be processed is input into the modeling engine to generate graphic generation data. When parameters change, the modeling engine automatically recalculates the geometric data. Based on the graphic generation data, the drawing interface generates or updates the corresponding graphic entities, and the equipment parameter data to be processed is serialized and written back to the extended dictionary, ensuring that the stored parameter data is updated to the latest state after the graphics are updated, forming a closed loop. This allows the system to automatically redraw the graphics simply by inputting the new parameters when modifying equipment dimensions or parameters.

The application discloses a device environment snapshot method and device, a replication method and device and a computing device, relates to the network snapshot technical field, and can solve the problem that version control cannot be performed on snapshots in the prior art. The device environment snapshot method comprises the following steps: pulling a superior directory from a warehouse as a superior directory in a file system on a device, wherein the superior directory pulled from the warehouse is a directory file prepared in advance for a user, and the naming of the superior directory is consistent with the naming of the superior directory in the file system; saving an environment deployment of the device in the superior directory of the file system; and pushing the environment deployment saved in the superior directory to the warehouse. According to the technical scheme of the application, the environment can be replicated to multiple devices only by being deployed once, batch deployment of the devices can be performed, the warehouse can be used to automatically generate traceable snapshots, the snapshots can be automatically managed, and the time point of the snapshots and the remarks of the snapshot descriptions can also be automatically completed.

This invention discloses a multi-AI collaborative aggregation scheduling and fully automated execution method based on a large model, belonging to the fields of artificial intelligence technology and task automation processing technology. This method receives user natural language requests, utilizes a large model for intent recognition, task decomposition and structured orchestration, constructs a multi-AI capability matching library to automatically match and adapt AI tools, generates standardized task execution links, and schedules multi-AI collaborative work through a unified interface gateway. Simultaneously, it automatically completes third-party platform interface calls, resource configuration, task iteration optimization, and result integration and output, eliminating the need for users to manually operate multiple AI tools or perform cumbersome configuration steps. This invention solves the technical problems of existing technologies where users need to download, switch, and operate multiple AI tools separately, resulting in high technical barriers, cumbersome operations, and the inability of multiple AIs to work collaboratively. It achieves a one-click trigger and fully automated task processing effect, significantly reducing user operating costs and improving the execution efficiency of complex tasks. It is suitable for one-stop AI processing of various complex tasks such as APP development, content generation, and platform configuration.

Systems and methods are described herein for displaying subjects of a portion of content and searching for content related to a particular subject in the content. Media data of content is analyzed during playback, and a number of action signatures are identified. Each action signature is associated with a particular subject within the content. The action signature is stored, along with a timestamp corresponding to a playback position at which the action signature begins, in association with an identifier of the particular subject. Upon receiving a command, icons representing each of a number of action signatures at or near the current playback position are displayed. Upon receiving user selection of an icon corresponding to a particular signature, a portion of the content corresponding to the action signature is played back or a search interface is displayed including autocomplete suggestions related to the subject of the signature.