5results about How to "Solve the standardization problem" patented technology

The application relates to the technical field of retrieval enhancement generation evaluation, and provides a retrieval enhancement evaluation method and device based on multi-round dialogue context perception, which comprises the following steps: a first large language model is constructed; the first large language model is used for question rewriting according to a question and context; historical multi-round question and answer data of real users is extracted; a multi-round evaluation set is generated based on the historical multi-round question and answer data, a knowledge base document, a second large language model and a RAG system; the second large language model is used for summarizing a business classification, a question type and an interaction paradigm of each multi-round question and answer; the first large language model is used for converting the multi-round evaluation set into a single-round question set; and the RAG system is evaluated by using evaluation indexes, the multi-round evaluation set and the single-round question set. The application realizes automatic generation of the multi-round evaluation set, reduces the manual labeling cost, reduces the construction difficulty of the multi-round evaluation set, and realizes evaluation of the multi-round dialogue RAG task.

The invention discloses a generative AI-assisted material data template design method and system, and relates to the technical field of material data management and generative artificial intelligence. The method comprises the following steps: receiving uploaded multi-source heterogeneous original material data, and carrying out decoding and decompression verification to generate a structured file storage path; analyzing the original material data, preliminarily deducing the data type, and generating a formatted intermediate file; generating an initial type mapping table by using a dynamic type discrimination mechanism based on a data scale; inputting the initial type mapping table and a target database template example into a generative AI engine, generating an initial JSON template, and performing man-machine collaborative optimization; and performing multi-dimensional verification on the optimized JSON template, storing the template which passes the verification, and outputting a standardized semantic data entity which can be correctly analyzed by the target database. According to the method, automatic analysis, semantic mapping and interactive optimization of the multi-source heterogeneous material data can be realized.

This invention provides a method and system for constructing an evolvable knowledge infrastructure, comprising: Step S1, designing a mandatory unified data format and constructing a plug-in hot-swappable architecture to access multiple heterogeneous data sources; Step S2, constructing a three-layer cascaded cleaning pipeline to extract knowledge from the original accessed materials; Step S3, based on the unified data format, normalizing the cleaned text after knowledge extraction into structured format data that can be directly consumed by intelligent agents through a job-specific knowledge unit extraction mechanism; Step S4, performing semantic-aware segmentation on the structured format data, dividing it into semantically independent and context-complete knowledge units, and constructing a hybrid retrieval index; Step S5, performing multi-dimensional quality scoring on the processed data and establishing a full-link data lineage tracing system. This invention can systematically transform multi-source heterogeneous data into structured, traceable, and verifiable job-specific knowledge units and capability assets that can be directly consumed by intelligent agents.

This disclosure relates to the field of oil and gas geology, and particularly to a method, apparatus, equipment, medium, and procedure for analyzing the dissection process of oil and gas reservoirs. The method includes: selecting a target oil and gas reservoir based on the distribution characteristics of a predetermined target stratigraphic level; performing dissection analysis on the target oil and gas reservoir to obtain a dissection dataset; determining a data extraction method for each dissection data point based on its corresponding dissection category; extracting dissection attributes for each dissection data point using the data extraction method; analyzing each dissection data point based on the dissection attributes and pre-acquired dissection attribute data standards to obtain a dissection evaluation for each dissection data point; determining the complete dissection process corresponding to the target oil and gas reservoir using the dissection dataset; and comprehensively analyzing the complete dissection process using the dissection evaluation of each dissection data point. This invention can improve the accuracy of oil and gas reservoir process analysis.

The application discloses a kind of multimodal data automatic processing and information extraction method, belong to data processing technical field.The method comprises the following steps: establishing original knowledge base according to original training data under business scenario;The original multimodal data in original knowledge base is preprocessed, and preprocessing knowledge base is obtained;The preprocessing knowledge base is input into knowledge retrieval unit;The text to be inquired is converted into query vector, the distance between query vector and knowledge fusion vector representation vector in knowledge retrieval unit is calculated, and the retrieval result is obtained by approximate nearest neighbor algorithm;The retrieval result is fused by cross-modal Transformer model, and the fused semantics and user query are combined to generate answer.The method can process text, image, audio and video and other modal data, perform multimodal fusion and reasoning through visual language model, realize accurate extraction and structured storage of information, and improve the efficiency and quality of data analysis and mining.