Meteorological information network service operation index intelligent question and answer method and device

By combining a large language model with a knowledge database of meteorological information network operational indicators, we have achieved automated and highly reliable intelligent question answering for meteorological information network operational indicators. This solves the problems of low efficiency and insufficient reliability in existing technologies and provides query results with high interpretability and business guidance.

CN122332518APending Publication Date: 2026-07-03STATE QIXIANG INFORMATION CENT

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
STATE QIXIANG INFORMATION CENT
Filing Date
2026-04-01
Publication Date
2026-07-03

AI Technical Summary

Technical Problem

The existing methods for querying meteorological information network operational indicators are inefficient, lack flexibility, and rely on professional personnel. Simply relying on large language models has low reliability in professional fields. Indicator statistics and knowledge question answering are disconnected, and there is a lack of a unified interaction and verification mechanism.

Method used

We employ a large language model for semantic parsing, combine it with a knowledge database of meteorological information network business operation indicators, and store metadata and table structures through a vector database to achieve accurate conversion of natural language questions into SQL queries. Furthermore, we combine domain knowledge for interpretation and analysis, providing visualization results and optimization suggestions.

Benefits of technology

It achieves an automated and domain-reliable question-answering process, improves the interpretability and business guidance value of query results, breaks through the limitations of traditional systems, significantly reduces semantic ambiguity and structural errors, and improves query accuracy and result credibility.

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Abstract

This invention discloses an intelligent question-and-answer method and device for meteorological information network operational indicators, belonging to the field of real-time monitoring of integrated meteorological operations. This invention incorporates the database table structure information based on a knowledge database of meteorological information network operational indicators during the SQL query generation process, accurately mapping the user's natural language requirements into executable SQL queries, significantly reducing semantic ambiguity and structural errors in the SQL generation process. Furthermore, the invention introduces a knowledge base retrieval system in the meteorological operational monitoring domain during the result generation stage, cross-validating and supplementing the database query results with external meteorological information network operational indicator knowledge, performing multi-level interpretation and in-depth analysis of the retrieved indicator data, and providing suggestions. This invention achieves a question-and-answer process that is both automated and domain-reliable, giving the query results higher interpretability and business guidance value, overcoming the limitations of traditional systems that only provide raw data and lack in-depth insights.
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