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.
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
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.
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.
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.
Smart Images

Figure CN122332518A_ABST