32 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 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.

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 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.

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.

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 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 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.

This invention discloses an intelligent medical aesthetic consultation system and its control method based on RAG and a multimodal large language model. Belonging to the category of multimodal large language model intelligent systems, this system includes multiple functional modules: a customer data acquisition module, an image analysis module, a knowledge base retrieval module, a solution generation module, and a business system interface module. Each module transmits, flows, and calculates data within the system to obtain the aesthetic consultation solution required by the customer, which is then presented on the client side. By integrating RAG knowledge retrieval, a multimodal large language model, and a medical aesthetics-specific knowledge base into the system, it can provide users with professional, personalized, and dynamically updated aesthetic consultation solutions in real time, solving the pain points of existing technologies such as heavy reliance on manual labor, high costs, and inconsistent user experience. This improves the efficiency and professionalism of the system's aesthetic consultation, reduces service costs, and optimizes the entire customer experience, introducing a new intelligent consultation model to the medical aesthetics industry.

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.

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.

The present invention relates to an online consulting system and is an online business consulting solution characterized by providing all information necessary for business activities, such as management, technology, finance, marketing, and psychology, to individuals or companies online using high-speed communication means in accordance with their needs, so that individuals or companies can focus more on their unique business areas and effectively carry out their activities. The invention includes a server processor, an operating program, and a database, and is a web server that is connected online to a customer terminal via an internet communication network. The database comprises a customer information database, a self-development and financing information database, a collateral provision information database, a support system information database, a venture certification information database, a labor market database, and a small and medium-sized enterprise personnel and management database, each of which is converted into a database to provide management support information for individuals and companies, and compares this information with the member's input conditions to provide the information to the member online. Furthermore, to enable the member to comprehensively consult with an expert regarding the output content, the member clicks on the output information for expert diagnosis, thereby transmitting the corresponding input / output information to the solution, comparing and analyzing the member's input information with the stored database, and providing information that matches the corresponding conditions to the member online.

A security token for accessing an automotive vehicle, such as an NFC access card or NFC-capable mobile phone, is monitored to help prevent it being left in the vehicle when the user exits the vehicle. An NFC reader in the passenger compartment communicates with the token to authorize access to predetermined functions of the vehicle. An image sensor captures images within the passenger compartment using an image sensor after the security token is presented to the NFC reader. A location of the token is tracked in the captured images. One or more predetermined carrier locations are identified which are associated with the user and which can remain with the user when the user exits the vehicle (e.g., a pocket or purse). A message to the user is generated as a reminder when the security token has not been detected to have been returned to an identified predetermined carrier location.

The invention relates to the field of artificial intelligence, in particular to an enterprise consultation system based on natural language processing, which comprises the following steps: extracting keywords in a consultation text through a text recognition and analysis module; the keyword classification module classifies the keywords into fuzzy keywords and clear keywords based on the association condition of adjacent texts; the semantic analysis module obtains all potential meanings of the fuzzy keywords, calculates semantic smoothness and obtains a semantic matching degree score in combination with a preset basic weight; the branch construction module constructs a logical association network based on clear keywords, and determines core potential semantic nodes and domain branches; the candidate screening module screens the optimal potential meaning based on the domain branch and the semantic matching degree score and sends the optimal potential meaning to the demand end; and the feedback processing module dynamically adjusts a preset basic weight of the potential meaning corresponding to the fuzzy keyword according to user feedback. The semantic comprehension precision and the self-adaptive capability of the consultation system are improved, and the accuracy and the practicability of enterprise consultation services are improved.

The invention discloses an intelligent maternal and infant knowledge service method, which comprises the following steps: S1, preprocessing a data set, and collecting the data set in a structured manner and a non-structured manner; s2, constructing a word embedding model, firstly counting word frequencies, selecting first 10000 words with the highest occurrence frequency to add into a dictionary, generating a word embedding matrix through a Word2Vec tool, and encoding the words; according to the method, the information extraction model capable of fully utilizing the context information is designed, the model complexity is reduced while the model prediction precision is ensured, similar information is integrated through knowledge fusion, the rationality and high efficiency of a data structure in a knowledge graph are ensured, and the question and answer efficiency of the whole consultation system is improved.

An advice device comprises a computing device and a communication device communicably connected to the computing device. The communication device obtains a measurement value of an advanced glycation end product of a subject and a plurality of other data of the subject that are different from the measurement value of the advanced glycation end product. The computing device generates advice information for the life of the subject based on the measurement value of the advanced glycation end product obtained by the communication device and at least one of the plurality of other data obtained by the communication device.

The invention relates to the technical field of information, in particular to an information technology consultation system which comprises an information acquisition module, a data analysis module, a demand evaluation module, a solution generation module, an implementation recommendation module, a feedback and improvement module and a knowledge base module. Wherein the information acquisition module is used for collecting basic information, business process data and historical technical problem records of an enterprise; the data analysis module is used for identifying technical requirements and potential problems of an enterprise; the demand evaluation module is used for carrying out priority ranking on technical demands of the enterprise; the solution generation module is used for generating a targeted technical solution; and the implementation scheme recommendation module is used for recommending an optimal implementation scheme. According to the system and the method, enterprise data are integrated and updated in real time, a personalized solution is provided, the consultation accuracy and the ability of an enterprise to cope with technical challenges are improved, services are continuously optimized through a self-learning mechanism, and the technical innovation and market competitiveness of the enterprise are enhanced.