1010 results about "System interface" patented technology

The invention discloses an equipment state sensing system based on peak shifting and danger situation sensing, which relates to the technical field of electric digital data processing and comprises a data acquisition unit, a model training and optimizing unit, a situation sensing unit, a peak shifting regulation and control unit and a system interface and user interaction unit. According to the method, the device state data feature similarity is dynamically calculated by using the Gaussian kernel function, the similarity matrix is adjusted in combination with the gradient update item, dynamic weighting is performed in feature extraction, and redundant features are reduced by adopting the adaptive discarding probability, so that the feature extraction efficiency of the model in a high-dimensional feature space is improved; the problem that the dimension reduction effect is affected by too many redundant features of the equipment state data is solved. Equipment state features are extracted layer by layer through a deep forest algorithm of a multi-layer random forest structure, a decision tree is optimized in combination with a dynamic adjustment weight mechanism and a reinforcement learning strategy, and the classification capability of the model for equipment state changes and abnormal states is enhanced.

Training and executing machine learning pipelines for graph data sets may be orchestrated. A request for machine learning pipelines on a graph data set may be received via a machine learning pipeline building system interface. The machine learning pipeline building system may generate a profile of the graph data set from characteristics determined from the data set by the machine learning pipeline building system. Machine learning algorithms may be selected according to the profile of the graph data set and may be used to generate an execution plan that is executes the machine learning pipeline.

Computer-implemented methods and systems interface with a language model (e.g., a Large Language Model (LLM)) to assist in document revision. The methods and systems allow text to be selected within a document and an action definition to be selected from an action definition library. The text and / or the action definition may be selected using a graphical user interface (GUI). An action defined by the selected action definition is applied to the selected text to generate text. For example, the selected action definition may include a prompt, and the prompt may be combined with the selected text to generate a combined prompt. The combined prompt may be provided as an input to the LLM, which may generate the generated text. The generated text may be integrated into the document.

The invention discloses a self-adaptive NL2SQL method and system based on a large language model and retrieval enhancement. The method comprises four key steps of mode linking, example enhancement and SQL generation, multi-path thinking chain fusion reasoning and multi-round self-correction. The system comprises the following modules: a knowledge base management module, an input analysis and preprocessing module, a mode link module, an example enhancement module, an SQL (Structured Query Language) generation module, an SQL fusion and optimization module, an SQL execution and feedback module, a multi-round self-correction module, a Prompt construction and context management module, a system interface module and a content generation module. The method has the advantages that multiple large models are supported, a data source is quickly accessed, a user-defined prompt structure is configured, good engineering maintainability and scene adaptability are achieved, and SQL generation accuracy, performability and universality are improved.

Systems, interfaces, and methods for implementing the systems and interfaces include a dynamic environment generation subsystem that changes objects and subobjects based on locations of the motion sensors and / or the nature, time and / or location of sensed motion and include selection attractive movement as the selection protocol, where a selection object is used to discriminate between selectable objects and attract a target object toward the selection objects, where the direction and speed of the motion controls, discriminates, attracts, and activates the selected objects.

The invention relates to a data center dynamic energy consumption optimization method based on machine learning, and the method comprises the following steps: S1, deploying a sensor at a key position in a data center for collecting energy consumption, temperature, load and other data, and collecting the operation data of the data center through a system interface; s2, preprocessing the data, including data cleaning and feature engineering, extracting features from the original data, selecting the most important features by using an LASSO algorithm, and constructing a training data set; s3, constructing an energy consumption prediction model based on the machine learning model, and training based on the training data set; s4, performing prediction based on the trained energy consumption prediction model, and dynamically allocating tasks according to the predicted energy consumption and the current load condition of the equipment to obtain a preliminary task allocation scheme; and S5, carrying out strategy training by adopting hierarchical reinforcement learning, optimizing a task allocation scheme of the data center, and carrying out task allocation based on the optimized task allocation scheme. The resource utilization efficiency and energy efficiency of the data center can be improved.

The invention discloses a remote sensing question answering system based on a comparison-generation type pre-training model, which comprises the following steps of: firstly, collecting remote sensing images of tasks such as classification, semantic segmentation, target detection, image-text retrieval and image text generation as original data, and uniformly converting the original data into an image-text pair form; the category area proportion is calculated through segmentation processing, a target category and position information thereof are detected, and zero sample classification is performed through a CLIP model. Thirdly, inputting multi-source information into a multi-modal large language model, generating text description of an image according to a question, and completing construction of a remote sensing global visual question and answer data set; and meanwhile, based on the annotation box, cutting the picture and sending the picture into a multi-modal large language model to obtain a remote sensing local visual question and answer data set. Then, pre-training the comparison-generation type model from a coarse stage to a fine stage, so that the comparison-generation type model has global-local level remote sensing knowledge and visual question and answer ability; and finally, realizing question and answer interaction with the user by constructing a user-friendly system interface.

The invention relates to the technical field of electric power, in particular to a data pre-auditing method based on a risk supervision assistant, which comprises the following steps: S1, a user submits data to be audited through a system interface, and the system performs format verification and preliminary screening on the data to ensure the integrity and compliance of the data; and the risk supervision assistant performs preliminary risk assessment on the data. Compared with the prior art, the method has the advantages that through a method of combining intellectualization and manpower, the powerful intellectualization processing capacity of the artificial intelligence technology is ingeniously fused, key information can be efficiently extracted from mass data, preliminary screening and classification are conducted, meanwhile, professional knowledge and experience judgment of an artificial auditor are fully utilized, and the intelligent processing capacity of the artificial intelligence technology is greatly improved. Especially, when complex, fuzzy or edge cases are processed, the intervention of manual auditing can ensure the accuracy and compliance of the auditing result, and the combination not only improves the auditing efficiency, but also significantly enhances the auditing efficiency.

Embodiments of the current disclosure provide for a mobile system interface device that translates between agnostic mobile system data and adapted mobile system data. Embodiments of the current disclosure also provide for remote active diagnostics of a mobile system using the mobile system interface device. Embodiments of the current disclosure also provide for testing of mobile systems using the mobile system interface device.

This disclosure describes an electronic device that can be installed within an access control system in parallel with a legacy interface device. The electronic device may perform steps of determining a set of configuration settings associated with an access control system to which the electronic device is electrically connected, receiving, by the electronic device, a first signal in a format associated with the access control system, configuring, based on the set of configuration settings, one or more signal pathways within the electronic device, generating, by routing the first signal through the one or more signal pathways, a second signal in a second format, and providing the second signal to at least one second electronic device.

Systems, interfaces, and methods for implementing the systems and interfaces include a dynamic environment generation subsystem that changes objects and subobjects based on locations of the motion sensors and / or the nature, time and / or location of sensed motion and include selection attractive movement as the selection protocol, where a selection object is used to discriminate between selectable objects and attract a target object toward the selection objects, where the direction and speed of the motion controls, discriminates, attracts, and activates the selected objects.

The invention provides an integrated vehicle-mounted system compatible with CTCS (China Train Control System) and CBTC (Communication Based Train Control). Comprising an integrated vehicle-mounted main control unit which is used for realizing a train control function of a CTCS system and a CBTC system, and controlling a CTCS vehicle-mounted module and a CBTC vehicle-mounted module to perform vehicle control right switching when a train crosses jurisdictions of different systems; the man-machine interaction unit is used for displaying a man-machine interaction interface in a system corresponding to the current train control mode according to the current train control mode; the sensor unit is used for collecting operation data of a train in real time and sending the operation data to the integrated vehicle-mounted main control unit; and the vehicle-mounted interface unit is used for realizing electrical connection between the CTCS vehicle-mounted module and the train and between the CBTC vehicle-mounted module and the train, and the vehicle-mounted interface unit is adaptive to the CTCS system interface and the CBTC system interface and supports a common interface mode and an independent interface mode. According to the invention, integrated design is realized, compatibility of CTCS and CBTC systems is realized, and the rapid switching capability and compatibility of train systems are improved.

The invention is applicable to the technical field of voice interaction, and particularly relates to a retrieval enhancement-based digital twin voice real-time interaction method, which comprises the following steps of: during interaction, performing voice input through a voice input module to obtain voice input data, understanding the voice input data through a semantic understanding module, extracting a user instruction, and outputting the user instruction to a server; the RAG retrieval enhancement generation module is used for processing a user instruction, obtaining a corresponding knowledge fragment and generating reply data, a natural language instruction is converted into an instruction sequence of a digital twin system through a standardized interface, and the feedback module is used for constructing a system interface and carrying out image display on a system state and feedback information. According to the method, the interaction experience is remarkably improved, the user can directly control the digital twin system through voice, additional manual operation is not needed, and the operation convenience and efficiency are improved.

The invention relates to a multi-service system interface integration and dynamic host automatic management method and system, and belongs to the technical field of informatization integration, and the method comprises the steps: obtaining the interface feature information of a plurality of service systems, and carrying out the feature extraction, and obtaining a preliminary interface feature set; performing logic tagging on the same type of fields, generating a unified interface semantic model, defining a data processing logic rule, and storing the data processing logic rule in a logic strategy rule base in combination with a business strategy logic rule; acquiring host node information in the enterprise infrastructure resources; obtaining a host resource mapping table based on the logic strategy rule base; generating a dynamic routing strategy and constructing a dynamic routing table; receiving an external service request in real time, obtaining an interface name, searching a dynamic routing strategy in the dynamic routing table, and selecting a target host node; and performing data processing on the data stream of the external service request and routing the data stream to the target host node. The resource utilization rate of the multi-service system can be improved, and high availability can be guaranteed.

The invention discloses a method and system for automatically generating a UI automatic test script of a target URI function, and relates to the technical field of software testing. The method comprises the steps that a user inputs a to-be-tested target URI through a system interface; the system analyzes the target URI; the system identifies all UI elements of the target URI and functions thereof, and establishes a function mapping relationship; the system automatically generates a UI automatic test case; the system converts the generated test case into an executable test script; and the system performs grammar check and logic verification on the generated test script to ensure the correctness and effectiveness of the test script. The system for automatically generating the UI automatic test script of the target URI function comprises a user interface module, an analysis module, a function identification module, a test case generation module, a script generation module and a verification module. According to the invention, the efficiency and accuracy of test script generation are improved, the complexity of manual writing is reduced, and the comprehensive test coverage of a software system is ensured.

The invention discloses an implementation method for constructing a unified user authentication center based on an OIDC framework, and the method comprises the steps: S1, integrating user data sources, and constructing a unified science and technology management user information base; s2, constructing a unified user authentication center of the science and technology management industry; s3, related functions of each business platform system in the science and technology management industry are upgraded, OIDC unified user authentication service docking is completed, and unified identity management is realized; and S4, system interfaces of all service platforms in the science and technology management industry are comprehensively and jointly debugged, and seamless cooperation of all the service platforms in the science and technology management industry and the OIDC unified user authentication center is ensured. The method has the advantages that the problems of informatization cross-system and cross-platform identity management and authority control in the science and technology management industry are solved, efficient and safe user identity management is realized, the system safety is enhanced, the system convenience is improved, the system integration complexity is reduced, and the informatization system management efficiency is improved.

The invention relates to an interface design method for a dynamic performance analysis and evaluation system of a virtual power plant. The interface design method comprises the following steps: dividing the dynamic performance analysis and evaluation system of the virtual power plant into a sensing layer, a communication layer, a data access layer, a data layer, a service layer, an application layer and a display layer according to functions; different interfaces are designed for each level, including a standardized data acquisition protocol and a high-frequency data transmission mechanism of a sensing layer, a multi-protocol compatibility and protocol conversion design of a communication layer, a unified data format and efficient data transmission of a data access layer, and a database interface and file storage interface design of a data layer. The authentication service, authority management and data access service of the service layer, the modular interface design and real-time data interaction of the application layer, and the cross-browser compatible design and data visualization function of the display layer. By optimizing the design of the system interface, efficient, safe and stable data processing and communication are realized, and the real-time performance, compatibility and user experience of the system are improved.

The invention provides a system for searching a blockchain (e.g. Bitcoin) for data / content stored in one or more blockchain transactions, and accessing that data / content. It may be used in conjunction with a protocol for searching the blockchain. An embodiment of the invention can be arranged to enable a user to search for, access, view, write and / or retrieve a portion of data provided in at least one blockchain transaction (Tx), and also arranged to identify the at least one transaction (Tx) based on a transaction index (TXindex) comprising a transaction ID and a public key associated with the transaction (Tx). The system may comprise a search facility which is either provided within the blockchain search system; or arranged to interface and / or communicate with the blockchain search system. It may also comprise at least one cryptocurrency wallet.

Methods, devices, and systems for improving the quality of electrospray ionization mass spectrometer (ESI-MS) data are described, as are methods, devices, and systems for achieving improved correlation between chemical separation data and mass spectrometry data.

The invention provides an intelligent customer service system, which comprises an information acquisition module used for identifying a customer identity according to a user login account and obtaining historical data under the account; the grading module is used for establishing a customer portrait model according to the historical data and classifying customer types; the matching module is used for automatically matching a service strategy model version corresponding to the account according to the customer type obtained by the grading module; the knowledge graph response module is used for carrying out deep analysis on client input contents based on the natural language understanding capability of a large language model in combination with a context, a client portrait and historical data after the version of the service strategy model is determined, automatically generating a task list and a semantic tag tree for a dialogue, and continuously optimizing the task list and the semantic tag tree; starting from a problem node of the task list, analyzing a corresponding semantic tag along an optimized and trained path in the knowledge graph, and matching a service processing action; and triggering a back-end system interface associated with the node according to needs, transferring real data, and solving client problems.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for enabling a user to conduct a dialogue. Implementations of the system learn when to rely on supporting evidence, obtained from an external search system via a search system interface, and are also able to generate replies for the user that align with the preferences of a previously trained response selection neural network. Implementations of the system can also use a previously trained rule violation detection neural network to generate replies that take account of previously learnt rules.

A database system is operable to store a plurality of segment row data via a first storage mechanism corresponding to a first durability level and facilitate storage of the plurality of segment row data via at least one file stored in a second storage mechanism corresponding to a second durability level, where table metadata corresponding to the at least one file is further stored via the second storage mechanism. A failure of storage of one of the plurality of segment row data via the first storage mechanism is detected. The one of the plurality of segment row data is recovered for storage via the first storage mechanism based on accessing of the at least one file based on accessing the table metadata corresponding to the at least one file based on communications between at least one storage system interface and a metadata processing system of the second storage mechanism.

The invention discloses an AI Agent-based low-code outbound verbal skill process configuration method and system, and the method comprises the steps: carrying out the word segmentation and semantic analysis of an original verbal skill text through a verbal skill configuration Agent, recognizing the type of a core business intention, extracting key entity information, carrying out the feature extraction and weight calculation of customer portrait data, and generating a customer feature model, fusing the key entity information with the customer feature model to generate an optimized verbal skill suggestion; performing keyword scanning, semantic rule matching and context association analysis on the optimized verbal skill suggestion through a compliance detection Agent to obtain a latest compliance standard update and generate a compliance detection result; carrying out automatic replacement and risk prompt supplement on violation contents through a dynamic correction function, and generating a compliant version verbal skill; and performing format standardization processing on the verbal skill of the compliant version through the outbound system interface, and then pushing the verbal skill to an outbound execution platform. According to the invention, the problems of low verbal skill configuration efficiency and insufficient compliance detection capability in the prior art are solved.

The invention provides a query service system based on a medical knowledge graph, and belongs to the technical field of artificial intelligence, and the system comprises a type determination module which is used for obtaining search content selected by a user based on a preset system interface, and then determining a corresponding search type; the vector generation module is used for generating a query vector based on the search content selected by the user and the corresponding search type; the graph loading module is used for loading the medical knowledge graph into a preset knowledge graph platform and constructing an initial query statement; the statement construction module is used for constructing a comprehensive query statement based on the query vector and the initial query statement; and the result acquisition module is used for executing query based on the medical knowledge graph and the comprehensive query statement so as to acquire a query result. And the query efficiency and the user experience are remarkably improved.

The invention provides a large-model-oriented heterogeneous computing power adaptive compiling method, which comprises the following steps that: a user inputs a trained large model through a system interface, and a system front-end conversion module analyzes a computational graph of the model and converts the computational graph into an intermediate representation based on a unified operator description language (UDL); the system hardware sensing module automatically detects and extracts hardware feature fingerprints of at least one piece of target hardware; based on the unified operator description language UDL intermediate representation and the hardware feature fingerprint, automatically generating an optimization adaptation rule oriented to at least one piece of target hardware; wherein the basis of parameterized filling comprises specific parameters of hardware feature fingerprints and optimized attribute tags carried in an intermediate representation of a unified operator description language (UDL); and generating and deploying multiple back-end codes. The method has the beneficial effects that intelligent compiling based on hardware features can be realized, and the deployment efficiency and the operation performance of a large model in a complex heterogeneous computing power cluster are remarkably improved.

The invention provides a man-machine interaction method and system of a multi-mode intelligent digital human. The method comprises the following steps: acquiring user voice data and user visual information data, processing to obtain user intention data, processing to obtain user emotional tendency data according to the user voice data and the user visual information data, acquiring service scene data, and processing to obtain reply text data in combination with the user intention data and the user emotional tendency data, the digital person replies according to the reply text data, obtains a current system interface image, determines a target control in combination with the user voice data, clicks the target control, obtains a man-machine interaction effect evaluation index through processing according to interaction effect monitoring data of the intelligent digital person in a preset time period, and carries out man-machine interaction on the target control according to the man-machine interaction effect evaluation index. Intelligent feedback of a man-machine interaction effect is realized; therefore, the purpose of improving the man-machine interaction effect and the user experience is achieved.

The invention provides a method for quickly creating an orchestrable intelligence agent by utilizing a fixed rule, which comprises the following steps of: tool configuration: customizing a business logic code by a creator, and then adding a tool name and description on a configuration interface; and flow arrangement: according to the functions of the agent to be realized, after a user selects chain nodes on a system interface and fills in configuration items of related nodes, each node determines an input or output type, nodes of the same type or sub-type stipulate the processing flow direction of the flow, and after the user inputs and outputs, the system stores flow information. And agent creation: a series of visual configurations are compiled into logic codes by automatically generating a framework through the flow arrangement storage in the background, and built-in nodes are dynamically called through node configuration items to realize agent creation. According to the method, the capability of visually arranging the large model application is realized, the method is friendly to users in non-professional fields, the large model application can be rapidly enabled, and the threshold of integrating a digital assistant in an application system is reduced.

The embodiment of the invention provides an application starting method and electronic equipment, the method is applied to the electronic equipment, the electronic equipment comprises a system service process, a system interface process and a desktop process, and the method comprises the steps that in response to a first operation of a user, the desktop process sends a starting message to the system service process, the starting message indicates that a first function of the first application is started through the shortcut, and an interface corresponding to the first function is an interface displayed after the first application loads n activities in sequence; in response to the starting message, the system service process starts a first activity in the n activities and creates a first transition component, and in the process of starting the first activity, the system interface process adds and draws a first starting window for the first activity; in response to that the first transition component is ready, the system interface process notifies the desktop process to execute the first transition component; the desktop process executes the first transition component. The method can improve the response speed when the application is started.

The invention relates to the technical field of data processing, in particular to an invoicing, accounting and tax declaration method and system for a supply chain, and the method comprises the following steps: obtaining original data, including purchase order, customs declaration and invoice information, generated in each business link of the supply chain, and synchronizing the original data to a financial data center through a system interface for standardization processing; classifying the standardized data based on a preset rule, generating a to-be-processed receivable bill and a to-be-processed payable bill, and associating corresponding business records; comparing the purchase order, the acceptance record and the invoice information, generating an account checking difference report, and pushing the account checking difference report to a related service terminal; updating the account period state according to the account checking result; extracting tax refund elements in the customs declaration, generating a tax refund application, and tracking an auditing progress until the tax refund application arrives at an account and is filed; the method automatically synchronizes data of links such as customs affair and storage through a system interface and performs standardization processing, solves the problem of lagging of manual data collection, and improves the data synchronization efficiency.

The invention relates to the technical field of intelligent management and control, and discloses an engineering project full life cycle cost intelligent management and control system, which comprises a data acquisition and integration module used for acquiring multi-source cost data of each stage of an engineering project and cleaning and integrating the multi-source cost data; the cost prediction and analysis module is used for performing cost prediction and real-time analysis on the integrated data; and the real-time monitoring and early warning module is used for carrying out omnibearing real-time monitoring on the engineering project cost and giving out early warning when the engineering project cost is abnormal. Through an Internet of Things data acquisition unit, an external system interface unit and a data cleaning and standardization unit in the data acquisition and integration module, comprehensive acquisition of multi-source cost data in each stage of an engineering project is realized, and denoising, de-duplication processing and format conversion are performed on the acquired multi-source heterogeneous data; the accuracy and consistency of the data are ensured, and a high-quality data basis is provided for subsequent cost prediction, analysis, monitoring and decision making.