12 results about "Advisory system" patented technology

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.

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 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 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.

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.

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.

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.

This invention belongs to the field of computer software engineering and project management technology, specifically disclosing a software development process and quality assurance consulting system. The system includes a data fusion and feature extraction module, a causal inference and correlation modeling module, a dynamic strategy generation and optimization module, and a visual decision-making dashboard module. This invention constructs a complete technical closed loop from multi-source heterogeneous data fusion to business value correlation modeling, and then to dynamic strategy generation and visual decision support. Through the data fusion and feature extraction module, the system unifies and characterizes fragmented technical and business indicators at the data level. The causal inference and correlation modeling module applies cutting-edge causal inference methods, surpassing traditional correlation analysis, and establishes a quantifiable causal effect model between changes in technical quality and changes in business performance, enabling management to accurately understand the specific business value brought about by each improvement in code quality or process efficiency.