48 results about "Advisory system" patented technology

The invention relates to the technical field of artificial intelligence application, and discloses an information technology auxiliary consultation system based on artificial intelligence. The system comprises a data acquisition module, a knowledge graph construction module, an intention analysis module, a decision engine module, a strategy optimization module and a feedback correction module. The data acquisition module acquires multi-dimensional data such as a semantic type, an intention label and a historical interaction record of a user consultation request in real time; the knowledge graph construction module dynamically generates a hierarchically associated domain knowledge graph according to the domain database; and the intention analysis module completes user intention classification and analysis through a multi-level attention mechanism. The decision engine module combines the analysis result and the knowledge graph to generate candidate strategies, and the strategy optimization module screens out target strategies meeting real-time response requirements through an adaptive weighting algorithm. The feedback correction module utilizes user interaction data to update system parameters, improves service precision, and is suitable for various information technology consultation scenes.

A Large Language Model (LLM) and scoring system to generate responses or queries in the context of consulting or advisory services (AI advisory system). The system includes a user trust wallet 1,2 for

An example operation may include one or more of storing code that adheres to predefined coding standards of one or more programming languages within a data store, reading source code from a code file, comparing the source code to the code stored within the data store to determine one or more recommended code changes to the source code, and displaying the one or more recommended code changes via a user interface.

A method that may include obtaining well path data describing a first well path through one or more formations. The method may include obtaining first acquired drilling parameter data in real-time during a drilling operation for a predetermined well, wherein the drilling operation corresponds to the first well path. The method may include determining, by a computer processor, first predicted drilling data using a machine-learning model, the well path data, and the first acquired drilling parameter data, wherein the first predicted drilling data may include a predicted well path. The method may include determining whether the first predicted drilling data satisfies a predetermined criterion. The method may include determining, in response to determining that the first predicted drilling data fails to satisfy the predetermined criterion, an adjusted well path. The method may include transmitting a first command to update the drilling operation to implement the adjusted well path.

A computer-implemented method includes obtaining plant steam data regarding a plurality of steam traps of an industrial plant implementing a steam distribution network during operation of the industrial plant. A database is developed using the plant steam data and used to develop a mathematical correlation that describes a condensation removal rate as a function of parameters including a type of steam trap, temperature, pressure, and a steam volumetric flow rate. A digital twin of the steam distribution network is developed using a machine-learning model and the mathematical correlation, where the digital twin represents all steam straps of the steam distribution network. During operation of the industrial plant, a trap condition of a steam trap of the digital twin is estimated based on a set of plant steam data regarding the plurality of steam traps of the industrial plant.

The invention discloses a multi-scene intelligent consultation system based on a pre-trained large model, and aims to solve the defects of an existing consultation system in the aspects of multi-modal understanding, semantic consistency, adaptive modeling and expert ability calling. The system comprises a multi-modal input recognition module, a semantic state cognitive map construction module, an instruction translation module, a self-consistent cognitive feedback module, an expert model scheduling module, an instruction response generation module and a system scheduling and resource management module, and can realize multi-modal information fusion, semantic intention analysis, expert knowledge matching and intelligent response generation. The method is widely applicable to multi-scene intelligent interaction application of intelligent customer service, medical inquiry, financial consultation and the like.

The invention relates to an information service consultation system and method for a hospital, and the system comprises a dynamic knowledge base module which integrates and updates an internal heterogeneous database, an external authority knowledge base and a multimedia database of the hospital, and builds a medical knowledge graph through a medical exclusive entity recognition model and an image semantic analysis technology; the intelligent question and answer module identifies a user query intention through a medical field intention classification model, and generates a target answer, a traceability identifier and a risk grading response through a medical corpus fine-tuning large language model; the man-machine collaborative closed-loop management module is used for receiving user feedback and manual audit information, identifying knowledge gaps and to-be-optimized problems and driving optimization of a medical knowledge graph; and the security and authority control module is used for carrying out user identity authentication, controlling access authority and encrypting global data based on an encryption algorithm. Therefore, the problems that a hospital question-answering system lacks the capability of processing multi-modal information and cannot meet the information requirements of high accuracy and high timeliness of hospitals are solved.

A method includes receiving first data and building a first model of a well based at least partially upon the first data. The method also includes receiving second data and building a second model including a network of flowlines based at least partially upon the second data. At least one of the flowlines is connected to the well. The method also includes combining the first model and the second model to produce a combined model. The method also includes calibrating the combined model to produce a calibrated model. Calibrating the combined model includes receiving measured data, running a simulation of the combined model to produce simulated results, and adjusting a calibration parameter to cause the simulated results to match the measured data. The calibration parameter includes a productivity index of a fluid flowing out of the well. The method also includes updating the calibrated model to produce an updated model.

Techniques for milling a window in the casing of a wellbore involves using a milling system with specific operating parameters controlled by a control apparatus. The control apparatus obtains sensor data during milling, accesses a trained machine learning model to predict an updated milling rate based on this data, and generates updated operating parameters. These updated operating parameters are then used to control the milling system to perform the operation at the new milling rate. The techniques continuously optimize the milling operation by adapting to real-time data and predictions made by the machine learning model.

This invention discloses a precise legal consultation method and system based on multi-agent orchestration. The method includes: employing a hybrid intent classification mechanism with three levels of linkage—LLM remote reasoning, local heuristic correction, and keyword fallback—to route user requests to different paths, driving differentiated processing flows; performing dual-path retrieval of vector retrieval and knowledge graph relationship expansion in deep analysis to generate a structured analysis report; introducing a multi-dimensional context compression algorithm to reduce token overhead and illusion risk; embedding a three-stage emotional reassurance mechanism throughout the entire response process; and using a rendering type protocol to achieve front-end / back-end decoupling and unified rendering across multiple platforms, decomposing the processing into continuous dynamic feedback through a staged streaming response mechanism. This invention achieves intelligent, precise, and emotionally engaging legal consultation processes through multi-agent orchestration, significantly reducing model reasoning costs and improving the handling capacity for complex cases and user interaction experience.

The invention relates to a health consultation system serving a home health management user, and the system comprises an obtaining module which is used for obtaining a health consultation question of the user; the medical question reply module is used for generating natural language answers based on the health consultation questions; the matching calculation module is used for calculating the matching degree between the medical entity in the health consultation question and the medical entity of the user HIS information; and the follow-up prompt module is used for sending a follow-up prompt to adjust a treatment scheme when the matching degree is lower than a threshold value. According to the invention, accurate reply can be given according to the consultation content of the user, and whether further follow-up visit is needed can be judged in time to adjust the treatment scheme.

According to aspects of the present invention, a computer-implemented method and system for an activity-based weather forecasting service is provided. The invention introduces an innovative, user-centric approach to weather forecasting, tailored to individual activities and preferences. This system bridges the gap in traditional weather forecasting by offering a personalized interface, which includes a color-coded advisory system akin to traffic signals, to signal the suitability of weather conditions for various user-defined activities enabling decision support to the user. Graphical user interfaces allow users to choose from pre-set activities, create custom activities, and set personal weather thresholds for these activities. The system employs at least one processor to coordinate these interfaces and backend processes, dynamically adjusting forecasts to correct for any biases and cater to the user-defined parameters. This invention transforms weather forecasting into a dynamic, personalized tool, providing actionable weather guidance and decision support tailored to individual activities.

The invention discloses a building consultation system based on a cloud platform, and relates to the technical field of building consultation. The system comprises a user terminal, a cloud platform server and a consultation service terminal. The user terminal is used for submitting consultation demand information, querying progress and receiving a result; the cloud platform server comprises a data storage module, a demand analysis module, a service matching module, a progress tracking module, a result feedback module and the like, intelligent analysis of consultation demands, accurate matching of service personnel, real-time monitoring of a consultation process and result compliance auditing can be realized, and meanwhile, a building industry knowledge base and historical case data are stored; the consultation service terminal is used for service personnel to receive requirements, upload progress, submit results and look up a knowledge base and historical cases. The system can expand functions of user evaluation, automatic data updating, multi-terminal cooperation, risk early warning and the like, improves consultation service quality and industry cooperation efficiency, and is suitable for consultation scenes of various building projects.

The present patent relates to the technical field of biometric identification, and more particularly to a process and system for collecting images and identifying children and neonates, comprising a biometric reading device (1.1), a collection system (1.2) and a storage and advisory system (1.3). An image collection system (1.2) comprises a subsystem for collecting digital images, means for collecting fingerprint sets (2.5) compiled from individual images of each fingerprint, means for performing additional inspection and conversion (2.6) on fingerprint image sets and for verifying the quality of said images, and means for inputting biographic data information (2.7) and verifying components in the image set. The subsystem for collecting digital images comprises: means for processing an image (2.1) from a biometric reading device; means for configuring and filtering (2.2), normalizing and other conventional methods of processing the image; means for providing and displaying image information (2.3) to a user; and means for checking (2.4) the previously configured image in real time. A storage and advisory system (1.3) acting as a repository for storing, maintaining and advising collected images and information comprises an interface (3.1) for storage, an interface (3.2) for advisory, an interface (3.3) for viewing and management via a web service, and a web page component (3.4) for direct viewing and management of the system by an authorized user.

Vehicle power outlet advisory systems and methods are disclosed. An example method executed by a processor of a vehicle power outlet advisory system in a vehicle can include detecting a gesture made by an individual. The gesture may indicate that the individual is seeking assistance to power a device. The processor can determine a power consumption of the device based on identifying a type, a brand, or a model number of the device, and can then identify a power source in the vehicle that is compatible for powering the device. The processor may further identify a first power outlet in the vehicle that is coupled to the power source, followed by issuing instructions to the individual for locating the first power outlet.

The invention discloses a multivariate intelligent evaluation and career planning consultation system based on multi-modal data fusion, and belongs to the crossing field of artificial intelligence and education evaluation. The system comprises a multi-modal data acquisition module, a preprocessing module, a multivariate intelligent evaluation module, a cross combination analysis module, a dynamic updating module and a personalized recommendation module. The acquisition module integrates structured data (questionnaires, academic data and genes) and unstructured data (behaviors, voices and images); the preprocessing module cleans, converts and fuses data; the evaluation module constructs an'intelligence-capability 'secondary model, and quantifies 8 items of intelligence and 40 items of core capability; the cross analysis module generates a potential label; the dynamic updating module iterates the result in real time; and the recommendation module outputs interest, academic, professional and career planning suggestions. The system solves the problems of single traditional evaluation data, rough evaluation, poor dynamics and the like, and improves the planning precision and timeliness.

The invention discloses an intelligent voice interaction system and method for disease and pest control consultation, relates to the technical field of agricultural informatization, and solves the technical problem of low accuracy of disease and pest control consultation caused by lack of a real deep interaction process with a user in an existing disease and pest control consultation system. Questioning voice of the user is acquired; generating a recognition state according to the questioning voice; judging whether the identification state is a normal state or not; if yes, using a lookup table to convert the keyword to obtain a corresponding query keyword; querying in a current question text library based on the query keyword, and generating a normal answer text; if not, querying an abnormal answer text based on the recognition state; converting the answer text into a dialect answer text corresponding to the dialect attribute; the answer text comprises an abnormal answer text and a normal answer text; replying according to the answer voice corresponding to the dialect answer text; the interaction process between the system and the user is enhanced; and through multiple interactions, the accuracy of answers is improved.

An advisory system of a vessel that monitors variables of a vessel system inclusive of systems and subsystems that are used to operate the vessel. The advisory system may use machine-learning to learn from an operator (i) whether or not two variables are related to one another, and (ii) likelihood that a variable will reach a threshold, and, optionally, time until reaching the threshold. The system may receive operator feedback (i) to indicate whether the two variables are related to one another, and (ii) whether a behavior of the variable is normal or not normal. Thereafter, if a determination that the same two variables are related to one another and behaving in a similar manner, provide notification to the operator of the behavior. In response to determining that the variable is behaving (e.g., trending) in a similar manner that is not normal, providing a notification to the operator.

The invention relates to the technical field of medical knowledge consultation, and discloses a medical knowledge intelligent consultation system based on a knowledge graph, and the system comprises a consultation collection module, a consultation interpretation module and a consultation output module which are in communication connection in sequence. According to the application, efficient integration and intelligent consultation of multi-source medical data are realized through collaborative design of consultation acquisition, interpretation and output modules, so that genetic variation analysis efficiency, interpretation accuracy and prediction accuracy are improved, natural language interaction and visual analysis are realized, and requirements of medical data and safety regulation requirements thereof are met.

This application relates to the field of medical knowledge consulting technology and discloses a knowledge graph-based intelligent medical knowledge consulting system. The system includes a consultation acquisition module, a consultation interpretation module, and a consultation output module, which are sequentially communicatively connected. Through the collaborative design of the consultation acquisition, interpretation, and output modules, this application achieves efficient integration and intelligent consultation of multi-source medical data, thereby improving the efficiency of genetic variation analysis, interpretation accuracy, and prediction accuracy, enabling natural language interaction and visual analysis, and meeting the needs of medical data and its security regulatory requirements.

The invention relates to the technical field of financial management, and discloses a stock staring and investment strategy optimization method and system in an intelligent investment adviser system, and the method comprises the steps: analyzing a financing scene classification label corresponding to a target stock, collecting the domain volatility and liquidity index of the target stock, and generating a putting combination distribution echelon of the target stock; calculating a fluctuation conduction coefficient of the target stock in the transaction process, and calculating a dynamic hidden danger infection entropy value of the target stock; historical position change data and abnormal transaction signals of the target stocks are recorded, the position coupling deviation rate of the target stocks is calculated, the extreme covariant coefficient of the target stocks is calculated, and the strategy fitness between the target stocks is evaluated; and dynamically adjusting the position allocation weight of the target stock, generating a dynamic hedging instruction of the target stock, performing real-time optimization regulation and control on the position of the target stock, and obtaining a combined adjustment strategy of the target stock. The stock staring and investment strategy optimization efficiency can be improved.

The application discloses a digital government project consultation system based on artificial intelligence, and belongs to the technical field of project consultation, which comprises a data acquisition module, a data processing module, a knowledge graph construction module and a project consultation model construction module.The data acquisition module is used for collecting multi-source heterogeneous project information related to historical government projects.The data processing module is used for processing the data collected by the data acquisition module to obtain standardized project files.The knowledge graph construction module is used for extracting triplets in the standardized project files to construct a project knowledge graph.The project consultation model construction module is used for training a deep learning model based on the constructed knowledge graph to obtain a project consultation model.The online project consultation module is used for consulting a project to be consulted, including project scoring, project risk analysis and project legal regulation consultation.The system is used to improve the consultation efficiency through intelligent analysis, and meanwhile, the credibility of the consultation reply is improved.

The invention discloses an information technology consultation terminal and consultation system, and relates to the technical field of information technology consultation, the information technology consultation terminal comprises a user consultation terminal and a server side, the user consultation terminal is used for receiving user input and displaying a consultation result, and the server side is used for processing a user request and providing consultation data. And communication between the user consultation terminal and the server side is encrypted. In the invention, a cache mechanism is introduced into a user consultation terminal and a server side, and a user is allowed to store important consultation data and information locally through local data storage without being limited by a network, and when the network is well connected, common consultation data and information are downloaded and cached in advance, so that when the network is unstable or interrupted, the consultation data and information can be quickly and accurately stored. The user still can access the cached data, and the cached data of the user consultation terminal and the server side are reasonably managed, so that the network dependence can be obviously reduced, and the availability of the consultation system and the user experience are improved.

The present invention relates to a legal advice system capable of providing legal advice and a legal document writing service in response to a query of a user by using AI, and a legal advice method using same. In particular, the system for providing legal advice and legal documents in response to a query of a user comprises: a query server in which the user queries a case; a classification server which is connected to the query server and classifies the query of the user into a keyword; a collection server which is connected to the classification server and collects legal and precedent data by using the classified keyword; an answer server which is connected to the collection server and provides the user with an answer to the query; and a document writing server which is connected to the answer server, and provides a legal document for the case to the user and guides the user in writing the legal document.

A method for performing a drilling operation of a well in a subterranean formation is disclosed. The method includes obtaining drilling data records each including a revolutions per minute (RPM) value, a weight on bit parameter (WOB) value, and a rate of penetration (ROP) value, analyzing, using a computer processor, the drilling data records to generate a maximum point including a maximum ROP value that is based on a predetermined percentile of an ROP distribution of the drilling data records, generating, using the computer processor and based on the maximum point and a current point, a recommendation point including a recommended RPM value and a recommended WOB value, where the current point includes a current RPM value, a current WOB value, and a current ROP value of the drilling operation, and presenting, to a user, the recommendation point to facilitate the drilling operation.

Systems, devices, and methods provide for matching patient data to an individual patient. For example, such operations include determining a data requirement based on content of a consultation request for a consultation. Missing information is identified based on the determined data requirements by retrieving available data from the data source and identifying unavailable data based on the retrieved available data and the determined data requirements. A summary is generated by extracting clinical information related to performing the consultation from the retrieved available data. The summary is prioritized in the context of the consultation request and the identified unavailable data is highlighted.

The invention discloses a dynamic asset allocation intelligent investment advisor system based on artificial intelligence, particularly relates to the field of intelligent investment, and comprises a data acquisition module, a data processing module, a data analysis module and a judgment module. The data acquisition module acquires financial market data, macroeconomic data, enterprise financial data and investor personal data and transmits the data to the data processing module. The data processing module carries out cleaning and standardization operation on the data and then transmits the data to the data analysis module. And the data analysis module constructs a mean variance model based on the processed data to obtain an initial optimal portfolio weight, and then calculates and optimizes the risk contribution of each asset. And the judgment module generates asset allocation suggestions based on the analysis result and dynamically adjusts the suggestions. According to the system, personalized suggestions are generated according to investor risk preferences and investment targets through multi-module cooperation in combination with a mean variance model and a risk evaluation model, the situation changes of markets and investors can be responded in time, and the accuracy and adaptability of asset allocation are improved.

A marine vessel advisory system can be configured to calculate and provide operational information showing fuel savings based on adjustments to the vessel's speed and / or heading. In one mode, the advisory system can operate in real time to gather information on operational and / or environmental conditions, which is then used to calculate alternative vessel operating performance that will save fuel and reduce emissions. The calculations may include simulation, machine learning, and / or artificial intelligence to determine a vessel speed and / or heading that will reduce fuel consumption. The advisory system can display the calculated information to the operator, who can then choose to switch to the alternative operating parameters (e.g., slower speed).In one mode, the advisory system can interact directly with a marine vessel system and automatically cause the marine vessel system to adjust operating parameters based on calculated operating parameters that save fuel and reduce emissions.

This invention discloses an information technology management consulting system and method for intelligent information technology service management, relating to the field of fault information maintenance technology. Addressing the problems of existing operation and maintenance knowledge bases relying on manual updates and having low retrieval matching accuracy, this invention's method first intercepts and cleans operation and maintenance terminal operations to generate standardized event sequences; then, it generates knowledge records by aligning asset topology attributes with monitoring alarm context; when new fault features match topology attributes, it recommends knowledge and captures feedback; further, it establishes a credibility scoring model based on the state transition of fault work orders to dynamically verify and score knowledge; finally, it achieves automated admission and removal management of the knowledge pool based on credibility scores. This invention also discloses a corresponding management consulting system. This invention realizes the automated accumulation and closed-loop iteration of operation and maintenance knowledge, establishes a strong logical association between operations and fault root causes, and significantly improves the accuracy and executability of knowledge recommendation.