7 results about "Knowledge-based systems" patented technology

The application discloses a kind of intelligent diagnosis system of diabetic eye disease based on multi-model cluster and cause-effect enhanced LLM cooperation, and it is related to artificial intelligence medical auxiliary diagnosis technical field.The system includes modular detection cluster layer, microaneurysm, bleeding point, exudate, neovascular detection is carried out to input fundus image simultaneously, and the visual feature corresponding to diabetic eye disease is output;Medical text modal alignment layer, the diabetic eye disease visual feature output by modular detection cluster layer is converted into standardized medical description;Large language model diagnosis layer, according to the standardized medical description output by medical text modal alignment layer, combined with the construction of standardized medical description knowledge base system, the input fundus image is carried out diabetic eye disease diagnosis reasoning, and structured diagnostic report is generated.The system has the advantages of high overall detection accuracy, knowledge evolution, diagnosis interpretability, output standardization and the like.

The application discloses a kind of intelligent diagnosis system of diabetic eye disease based on multi-model cluster and cause-effect enhanced LLM cooperation, and it is related to artificial intelligence medical auxiliary diagnosis technical field.The system includes modular detection cluster layer, microaneurysm, bleeding point, exudate, neovascular detection is carried out to input fundus image simultaneously, and the visual feature corresponding to diabetic eye disease is output;Medical text modal alignment layer, the diabetic eye disease visual feature output by modular detection cluster layer is converted into standardized medical description;Large language model diagnosis layer, according to the standardized medical description output by medical text modal alignment layer, combined with the construction of standardized medical description knowledge base system, the input fundus image is diagnosed and reasoned to diabetic eye disease, and structured diagnostic report is generated.The system has the advantages of high overall detection accuracy, knowledge evolution, diagnosis interpretability, output standardization and the like.

The application discloses a kind of knowledge base management method, device, computer equipment and storage medium, the knowledge base management method includes steps: quality detection is carried out to knowledge data in knowledge database, obtains quality detection result;According to quality detection result, determine the target knowledge data needing to update;Get reference knowledge data, and calculate the knowledge difference degree between reference knowledge data and target knowledge data;According to the corresponding relationship of knowledge difference degree and data update strategy, determine target data update strategy, update target knowledge data.This method realizes the precision and automation of knowledge update by the dual mechanism of quality detection and difference degree analysis, effectively improves the reliability and efficiency of knowledge base management, is suitable for dynamic maintenance and intelligent optimization of knowledge base system in financial technology, medical health and other business fields, can provide effective knowledge support for decision support and intelligent service in complex scenarios.

This invention discloses a knowledge base system and method for establishing failure effects of aircraft maintenance activities for typical aircraft systems, belonging to the field of failure mode analysis (FMEA) technology for aircraft maintenance activities. It aims to solve problems such as traditional failure effect analysis methods not fully considering the associated effects of maintenance objects and the fact that maintenance activities are mostly stored in text format, which is not conducive to computer storage and reuse. The method includes: using FMEA to conduct failure effect analysis on typical aircraft systems and components; decomposing key operating state parameters for typical systems and components; constructing a knowledge base for the failure effects of maintenance objects; classifying maintenance activity steps and determining the maintenance objects and corresponding operating state parameters according to category correspondences; and associating failure modes and effects through operating state parameters. This improves the efficiency and accuracy of finding failure effects in maintenance activities, providing important data references for failure mode severity analysis and maintenance procedure improvement.

The application relates to the technical field of the cross of artificial intelligence large models, computer vision, natural language processing and intelligent education, in particular to a knowledge base system based on an AI large model, which comprises a content access layer, an AI analysis processing layer, a knowledge base management layer and a multi-terminal adaptation layer which are sequentially connected, and is also provided with a feedback closed-loop optimization module and a value concept and compliance scanning sub-module; a hierarchical disassembly algorithm driven by a VLM is used to realize minute-level automatic disassembly of a children's book in the order of a book, a page, a page area, picture elements and associated scripts; a double-mode age-appropriate evaluation system of texts and images which is fused with vocabulary complexity, logical depth, image emotion and value concept compliance is constructed, unified knowledge graph metadata standards are established to realize multi-terminal differentiated output, and knowledge base incremental learning is completed by relying on terminal interaction data. The application shortens the children's book disassembly time from several days to several minutes, reduces the artificial cost, and realizes content full-process automatic processing and dynamic optimization.

The application relates to a multi-source heterogeneous document knowledge base construction method and system based on adaptive normalization, and belongs to the field of knowledge engineering. The method comprises the following steps: collecting original document data of different modes from multiple heterogeneous data sources; pre-processing and mode feature extraction are performed on the original document data to obtain mode feature vectors corresponding to the original document data; the mode feature vectors of different modes are dynamically mapped to a unified shared semantic vector space to generate unified document vectors; local reasoning is respectively performed on the mode feature vectors based on mode-specific AI agents; a document set with similar semantics, conflicts or repetitions is identified; online aggregation and deduplication operations are performed on the document set; a knowledge graph is constructed based on cross-modal semantic association results; and a model parameter of the AI agent is automatically triggered to update in real time. The application constructs a knowledge base system with adaptive, real-time and self-learning capabilities.

This invention, titled "A Retrieval Enhancement Knowledge Base Generation System and Method for Food Safety," belongs to the field of intelligent compliance and quality control technology for food safety. The system constructs a multi-source knowledge base from national food safety standards, regulatory Q&A, and academic Q&A. It employs a hybrid retrieval mechanism combining semantic vector retrieval, SQLite structured numerical search, reordering, and metadata filtering. Based on a locally deployed large language model, it outputs traceable answers with standard numbers and clause citations. Simultaneously, it integrates statistical process control, process capability analysis, and acceptance sampling plan generation functions, enabling compliance Q&A, process deviation handling, and production process quality monitoring for food manufacturing enterprises.