325 results about "User friendliness" patented technology

The invention relates to the technical field of process automation, in particular to an RPA service automation method capable of enabling a large language model MCP. The method comprises the following steps: acquiring user input data, and performing intention understanding through a multi-round intention recognition model according to the user input data to obtain semantic instruction data; performing standard semantic protocol conversion according to the semantic instruction data to obtain standard semantic protocol data; performing flow chart node matching according to the standard semantic protocol data to obtain flow chart node data; and generating a business process according to the flow chart node data to obtain business process data. According to the method, the multi-round intention recognition capability of the large language model and the standard semantic protocol conversion are fused, so that the accurate mapping from the natural language to the business process is realized, and the intelligent level and the user friendliness of the RPA system are improved. Through process node matching and process logic verification, the execution effectiveness of the automatic generation process is ensured, and the labor cost and configuration errors are reduced.

The invention discloses a digital intelligent service system for enterprise services, which belongs to the field of enterprise digital services and comprises a user demand analysis module, an intelligent data adaptation module, a service resource matching module, a service efficiency evaluation module and a user-friendly interface. The user demand analysis module is used for semantic analysis and classification decision making; the intelligent data adaptation module identifies and analyzes the protocol type, and establishes an intelligent data transmission channel; the service resource matching module carries out resource pre-screening and accurate matching; the service efficiency evaluation module tracks an identifier and captures a four-dimensional index system in real time, and the dynamic evaluation unit realizes service state grading early warning through a sliding window algorithm; according to the invention, accurate demand identification is realized, the response speed and the data transmission efficiency are improved, the user satisfaction is improved, the service matching accuracy is enhanced, the resource utilization efficiency is optimized, the service capability and the customer experience are improved, and maximization of economic benefits and social values is realized.

The invention discloses an intelligent SQL (Structured Query Language) generation method and system based on multistage intention recognition. The method comprises the following steps: receiving a natural language query of a user; vector matching: carrying out vector matching based on a knowledge base to obtain Top-K candidate query objects, the knowledge base containing multilayer structure description information; a large language model intention understanding step: determining a final query object in combination with the candidate query object description; loading a branch workflow, analyzing a field and a table structure, and dynamically configuring a database table and field information; sQL generation: generating SQL statements conforming to grammatical rules, including automatic field addition, time condition conversion and field priority matching operation; and executing the SQL statement and returning a result, and if the result fails, recording a log to prompt correction. By combining a natural language processing technology with a database knowledge base, an efficient, accurate and user-friendly database query solution is provided.

The invention presents an energy management system for power distribution networks. It features a hierarchical network with multi-level metering nodes, each measuring energy usage. Data from these nodes are transmitted via a secure communication gateway to a cloud-based platform, which includes servers for processing and storage. A key component is a machine learning algorithm within the server, designed to analyze energy data, normalize and transform inputs, and identify anomalies. The algorithm generates anomaly scores for each power meter, reflecting potential operational issues. A user interface, accessible through client devices, displays the processed data and anomaly scores. This allows users to effectively monitor and manage the energy distribution, making informed decisions for optimization. The system enhances the efficiency and reliability of power distribution, offering advanced analysis and user-friendly monitoring capabilities.

The invention discloses a petroleum industry personnel behavior safety video monitoring system based on artificial intelligence, and the system comprises a front-end equipment layer which is used for collecting physical environment data; the edge computing layer is deployed on a local server of a factory and is used for preprocessing and preliminarily analyzing the data acquired by the front-end equipment layer; the cloud analysis layer is used for carrying out deep analysis on the data uploaded by the edge calculation layer by utilizing deep learning and natural language processing technologies; the cloud analysis layer can integrate data from the front-end equipment layer, the edge computing layer and the cloud analysis layer; and the application service layer is used for presenting the result of the cloud analysis layer to a user in a user-friendly manner. According to the method, video spatio-temporal features are extracted through the CNN-BiLSTM fusion model, risk behaviors such as no helmet wearing and illegal operation are accurately identified, and the false alarm rate is reduced; the NLP analyzes the work order to construct the knowledge graph, the knowledge graph is matched with the video behavior event in a space-time manner, the risk score is dynamically evaluated, and the comprehensive early warning accuracy is improved.

The invention presents an advanced soccer training system designed to revolutionize traditional practice methods through a synergy of technology and interactivity. It features an integration of sensors, Artificial Intelligence, and Augmented Reality technologies, providing real-time feedback, immersive simulations, and personalized training experiences. The system promotes skill development via data-driven insights and dynamic training environments, supported by mobile application connectivity for customized training regimens and performance analysis. Additional attributes include energy-efficient design, user-friendly transport mechanisms, and extensive multimedia capabilities like video recording and photo capture for skill review, establishing a novel paradigm in athletic training and development.

The invention provides a long-range visual question and answer and multi-modal reasoning task agent construction method. For input images and natural language questions, generating answers through orderly calling of an external tool set; the construction process of the intelligent agent is divided into three stages: a global planning stage: analyzing user requirements through a global planning navigator, and screening tool subsets; in the tool autonomous execution stage, visual details are supplemented, background knowledge is retrieved and accurate operation is carried out in the multi-step process by surrounding three types of tools through a tool autonomous executor, and a returned tool result is used for assisting the next step of decision making; in the response synthesis stage, the reasoning process is combed through a model response synthesizer, and user-friendly and clear-format responses are sorted; and finally, the model response synthesis module extracts and obtains answers from the reasoning track and outputs the answers. The problems of global planning insufficiency and visual context forgetting generally existing in complex task reasoning of an existing multi-mode large language model are solved.

This invention relates to systems and methods for real-time dynamic classification and orchestration of test automation components in distributed DevOps environments. The system features an Auto Identify Automation (AIA) engine that leverages supervised learning, Multi-Modal Artificial Intelligence (AI), and Generative AI technologies. It includes a Smart Scenario Designer interface that allows users to author test scenarios using handwriting and voice inputs, which are processed in real-time by AI-driven handwriting recognition, voice recognition, and Natural Language Processing (NLP). The system dynamically suggests relevant automated components via a smart bubble pane, facilitating rapid scenario creation. The architecture is tool-agnostic and scalable, with a Shared Workbench Engine that supports real-time collaboration and conflict resolution. The system continuously adapts and improves, ensuring that the automation suite remains consistent, up-to-date, and aligned with evolving software requirements, enabling efficient and user-friendly management of complex test automation processes.

The invention provides an automatic drawing method and system for a satellite optical fiber transmission data stream, and the method comprises the steps: a user adds an e-mail address through software, and the software detects the uploading state of an interface data sheet, and sends a detection result to the user through an e-mail. And after the mail is successfully sent, the system records and displays a mail notification in a specified area. And identifying the interface data sheet by using GNN and graph embedding technologies. And the software establishes a digital model according to an identification result, forms a mapping relation with the constituent elements, and draws an optical fiber transmission data flow statistical graph according to a rule. According to the invention, automatic satellite data flow drawing is realized, and the efficiency of data processing and error detection is improved. The method has remarkable advantages in the aspects of improving the automation degree, accuracy and user friendliness of data processing.

The invention relates to a reconfigurable equipment simulation system based on software radio, and the system achieves the high-integration, user-friendly and efficient-management reconfigurable equipment simulation system through the modularization and seamless integration of a radio waveform design function, an equipment simulation user operation interface design, a business logic function design and a project management function. Therefore, even if a user does not have a deep programming capability, the user can quickly construct, test, manage and deploy the equipment simulator with complete functions. The system is rich in waveform component and UI component library, customizable in function and good in flexibility, software radio waveform design and equipment simulation are innovatively and seamlessly integrated, automatic non-inductive or manual upgrading can be achieved, the universality is good, various equipment simulators can be designed, the designed equipment simulators have open function expansion, and the system is suitable for popularization and application. And a complete project management process is provided.

The invention relates to an artificial intelligence application service software development terminal, relates to the technical field of computer software, and aims to simplify and accelerate the design, development, test, deployment and management processes of artificial intelligence application services. The terminal integrates a data processing module, a model development module, a service definition module and a deployment management module, and provides a unified integrated development environment. Through a user-friendly graphical interface, a developer can conveniently import, label and preprocess data; an artificial intelligence model is selected or constructed, and training and evaluation are carried out; defining input and output, an interface protocol and runtime configuration of the model, and packaging the model into a callable service; and the services are deployed to various target platforms. According to the method, the development threshold is effectively reduced, the development efficiency is improved, and wider application of the AI technology is promoted.

The invention provides a full-stack observability method for a unified platform, which comprises the following steps of: respectively acquiring logs, indexes and link tracking data by using an application performance monitoring agent, an extended Berkley packet filter agent and an index acquisition agent, and storing and distributing the logs, the indexes and the link tracking data, and performing data association processing by using the request tracking identifier and the timestamp to obtain an original data set which is stored uniformly and is in cross-data association, and performing format standardization and full-stack tracking integration processing respectively to obtain a standardized time sequence index and full-stack link tracking data respectively. By summarizing the data into the same observation system and associating the observation data by using the specific field, all observability data can be observed on the same platform, and the same user interface is used, so that switching among a plurality of system pages is not needed, the problem of data islands is solved, and a user-friendly observable platform is created.

This disclosure presents an event management system with real-time, low-latency communication between server and user terminals, facilitating efficient event planning and execution. The system includes an application program interface (API) database with an event execution management API for scenario control, participant messaging, location tracking, progress recording, and resource management API to handle physical assets. A user-friendly interface allows managers to construct event scenarios visually by manipulating graphical elements such as time zones, field zones, and preset layers—enabling quick setup without coding. Event scenarios undergo real-time validation to address scheduling conflicts, resource availability, and participant constraints. The system also includes an event database for program storage and log tracking. A communication processing unit synchronizes participant actions and event status, adjusting in real time based on feedback and location updates. This system enhances event management accuracy and flexibility, responding dynamically to changes in event parameters and participant interactions.

An exchange computer system and methods for using a moneyness index to provide a simplified and user-friendly way for users to trade daily positive or negative returns of an asset. A trade contract is built around a standardized index that tracks the return of an asset over a given period of time.

The invention discloses a sign language-voice conversion system, and belongs to the technical field of auxiliary communication and wearable computing. The system comprises a wearable myoelectricity acquisition module used for acquiring double-arm myoelectricity signals when a user executes sign language; the mobile terminal module is wirelessly connected with the acquisition module and is used for receiving and preprocessing the signal and uploading the signal; the cloud processing module is used for receiving the signal, converting the signal into text information through a sign language recognition model, and further calling a voice synthesis service to convert the text into voice data; and the wearable audio output module is used for receiving and playing the voice data. Through an innovative end-to-end hardware system architecture, natural, accurate and real-time translation and voice output of sign language gestures are realized, communication barriers between hearing-impaired people and healthy hearing people are effectively solved, and the system has the advantages of flexible deployment, user friendliness and privacy protection.

The present invention embodiments provide a forecasting system that derives carbon intensity, emissions, and environmental impact forecasts from a life cycle assessment (LCA). The forecasting system offers an intuitive, user-friendly interface that simplifies the complexity of forecasting methodologies, making generating forecasts of carbon intensity, emissions, and environmental impacts accessible to a broader audience. It incorporates advanced algorithms and real-time data integration, ensuring accurate and up-to-date forecasts. Additionally, the forecasting system is designed with a modular architecture and is highly configurable, allowing seamless integration with various industries and accommodating diverse products and processes.

A system and method are disclosed for interfacing with one or more databases using natural-language queries. The system translates a natural-language input into an intermediate formal representation, such as a Concept Query Language (CQL), which references domain concepts rather than database-specific structures. A data access subsystem maps these domain concepts to database-specific queries using a domain dictionary, enabling seamless translation across heterogeneous databases and database management systems (DBMSs). The system supports distributed data retrieval, error recovery, and dynamic query planning. A presentation subsystem formats the results into user-friendly outputs such as charts or tables. The architecture allows for modular grammar and dictionary configuration, enabling rapid adaptation to new domains, schemas, or user roles without procedural code changes. This approach improves accessibility, maintainability, and scalability of database interactions by abstracting technical complexity from end users.

Embodiments of the invention are directed to systems, methods, and computer program products for onboarding digital content to a platform designed specifically for seamless creation and user-friendly management of non-fungible tokens. The invention allows for users with zero knowledge of decentralized protocols to leverage the benefits of such technologies by providing a system for uploading existing digital content, automating the creation of one or more non-fungible tokens, managing permissioned access to the non-fungible tokens, and facilitating the ownership transfer of the non-fungible tokens.

The invention provides a traffic behavior monitoring method and system, and relates to the technical field of data processing, and the method comprises the following steps: receiving a current traffic behavior monitoring task of a target access control gate pushed by a message queue cluster; in the cache cluster, obtaining first video stream data and second video stream data corresponding to the current traffic behavior monitoring task; analyzing the following behavior in the first video stream data to obtain the occurrence time of the following behavior; and according to the second video stream data and the occurrence time, carrying out passing permission identification on a following person corresponding to the following behavior, and obtaining a passing behavior monitoring result corresponding to the current passing behavior monitoring task. According to the invention, trailing event analysis and pass permission identification are carried out through the double-view video stream data, so that trailing personnel with abnormal trailing behaviors can be accurately found, illegal passing of unauthorized personnel is prevented, and the safety, reliability and user friendliness of the access control system are improved.

A data processing system and method provides automated extraction, translation, load (ETL) operations. A server coupled with the processor executes the instructions and extracts data from various sources, such as cloud storage, external APIs and direct uploads. The system may include a stream mode processing unit to process large data files in manageable blocks, thereby improving efficiency and reducing memory load. It performs integrity checks to ensure data accuracy and consistency. The system configures and applies predefined and custom transitions, which is facilitated by user-friendly interface and API integration. Custom conversion logic is integrated into the process, allowing adaptive data operations to be performed. The converted data is then verified and formatted to be loaded into different destination systems. The ETL process is efficient, extensible and user-friendly, and thus suitable for wide data processing applications.

The present technology is to enable a transmitter device to read appropriate device information (EDID) from a receiver device with a reduced burden on the user. A memory unit that stores first device information and second device information, and a communication unit that communicates with an external device are included. The control unit determines to cause the external device to read the second device information, on the basis of reception of a rewrite signal for the first device information from the external device. It is possible to cause the external device (a transmitter device) to read appropriate device information (EDID) from a receiver device (a reception device) with a reduced burden on the user, and thus, user-friendliness can be increased.

The invention discloses a data acquisition method for a 485 sensor, and relates to a 485 sensor data acquisition technology, the sensor data acquisition method adopted in the invention not only improves the compatibility and flexibility of a system, but also realizes the compatibility of 485 sensors of different manufacturers and different protocols through a unified interface and a data processing flow, and improves the data acquisition efficiency. The applicability and flexibility of the system are greatly expanded, the design reduces additional adaptation work caused by different brands and models of sensors, the technical threshold and the maintenance cost are reduced, the system integration and the operation process are simplified, multiple sensors are connected and managed through a single device, the complexity of system integration is simplified, and the system reliability is improved. The deployment time is shortened, and the engineering efficiency is improved. Meanwhile, the simplified operation process reduces the technical requirements on operators, so that the system is more user-friendly and easy to popularize and apply.

Techniques for enabling tokenizing non-physical elements of physical assets using non-fungible tokens (NFTs) to enable independent management, appraisal, and transfer. The blockchain-based platform utilizes smart contracts for creating and managing NFTs, with secure access control for authorized interactions and a user-friendly interface for managing tokenized assets.

The invention provides an atlas updating method and device based on a large model, electronic equipment and a medium, information is extracted from large-scale text data by utilizing a natural language processing model, and the method mainly comprises the steps of data collection and preprocessing, entity extraction, relation extraction, atlas updating, model evaluation and iteration and the like. According to the method, an automatic crawler technology, multi-language text processing, transfer learning, visual data auxiliary entity extraction, relation extraction based on a pre-training language model and other technologies are comprehensively applied, and multiple beneficial effects of graph timeliness, multi-language adaptability, model generalization ability improvement, extraction accuracy improvement and the like are achieved. The atlas updating and continuous optimization process is optimized by means of an incremental updating strategy, a dynamic learning system, user feedback data, a conflict resolution strategy and the like. In conclusion, according to the method, the accuracy, the integrity and the user friendliness of the atlas are remarkably improved, meanwhile, the dependence on the annotation data is reduced, and the overall calculation efficiency and the model generalization ability are improved.

An observability system is disclosed that provides novel techniques for configuring indexable custom tags. The observability system enables customers and users to specify and create indexable custom tags in a flexible and user-friendly manner. The observability system includes a novel custom tag configuration system that enables users of the observability system to configure indexed custom tags. Using a set of user interfaces (e.g., graphical user interfaces (GUIs)), a user is guided through a workflow for configuring indexed custom tags.

The invention provides an interaction system and method of a vehicle-mounted screen, a vehicle, computer equipment and a computer readable storage medium. In one embodiment, an interaction system includes: input modules including first and second input modules, the first input module configured to provide a first input signal from a user, the second input module configured to provide a second input signal from the user; an intent recognition module configured to generate a wake-up intent signal based on one of the first and second input signals; a verification module configured to generate a wake-up instruction in response to the wake-up intent signal and based on the other of the first and second input signals; and the execution module is configured to wake up the vehicle-mounted screen in response to the wake-up instruction. According to the invention, the vehicle-mounted screen is awakened by providing a plurality of input signals, and the awakening action is carried out by firstly determining the awakening intention of the user and then carrying out verification again, so that the awakening action can be ensured to be intentional, wrong awakening is reduced, and the intelligence and user friendliness of an interaction system are improved.

The invention discloses an NL2SQL ambiguity elimination method based on a large language model and rules in the technical field of natural language processing and database query. The NL2SQL ambiguity elimination method based on the large language model and the rule comprises the following steps: generating structured ambiguity mapping through the combination of the large language model and the rule, and covering a sentence pattern structure and pattern matching ambiguity; the ambiguity is clarified in the form of selection questions through user interaction and rule processing of a user interaction interface, and selection mapping is generated; and rewriting the natural language query and database mode based on the selection mapping, and outputting a final unambiguous problem and an unambiguous mode. According to the NL2SQL ambiguity elimination method based on the large language model and the rule, the accuracy and user friendliness of an analysis result are improved through a structured disambiguation framework, and clear SQL statements can be generated by inputting clear natural language query into an analyzer.

The invention discloses a simulation method based on a chip verification simulation platform, and relates to the technical field of simulation, after a first construction file and a first user configuration file in the simulation platform are obtained, whether the first user configuration file is updated or not is checked according to a timestamp; if the first user configuration file is updated, calling the first user configuration file to regenerate the first intermediate file, if the first user configuration file is not updated, directly calling the original second intermediate file, and finally calling the second construction command to simulate the first intermediate file or the second intermediate file. Complex script writing of a traditional simulation entry file is replaced with the configuration mode of the segments and the key value pairs in the first user configuration file, each configuration item has a clear meaning, a user can quickly find the needed configuration, and the problems that a traditional simulation platform is dispersed in parameter management, cross-module parameter unification is difficult to achieve, and the simulation efficiency is high are solved. Therefore, the technical problem that compilation results are inconsistent is solved, and the user friendliness during verification and simulation of the chip is improved.

Data processing systems and methods provide for automated Extract, Transform, Load (ETL) operations. A server, coupled with a processor, executes instructions to extract data from various sources such as cloud storage, external APIs, and direct uploads. The system can include a stream mode processing unit for handling large data files in manageable chunks, thereby enhancing efficiency and reducing memory load. It performs integrity checks to ensure data accuracy and consistency. The system configures and applies both predefined and custom transformations, facilitated through a user-friendly interface and API integration. Custom transformation logic is integrated into the process, allowing for adaptable data manipulation. The transformed data is then validated and formatted for loading into diverse destination systems. This ETL process is efficient, scalable, and user-friendly, making it suitable for a wide range of data processing applications.