Intelligent generation method and system of land disaster prevention and control report based on indoor and outdoor work integration
Through the intelligent generation method of internal and external fields, GNSS, INSAR and drone photography technology are used, combined with RAG, BERT and FAISS for data processing, dynamically match templates and generate charts, solving the problem of data fragmentation and insufficient intelligence in the generation of geological disaster prevention and control reports, and achieving efficient and accurate report generation.
Patent Information
- Application Number
- CN202510654359.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-05-21
- Publication Date
- 2025-08-15
AI Technical Summary
In the generation of existing geological disaster prevention and control reports, there is field data that depends on manual records, internal data needs to be retrieved across systems, templates and disaster types are insufficient, budget calculations rely on empirical formulas, and icon generation requires external software operation. The data fragmentation of external and internal data makes it difficult to synchronize in real time, the degree of intelligence is low, and data dispersion leads to low generation efficiency and easy to miss key information.
Using an intelligent generation method based on the integration of internal and external fields, data is collected in real time through GNSS, INSAR and drone photography, information conversion and vectorization is used to use RAG technology, geological information retrieval is searched in combination with BERT and FAISS, templates are dynamically matched, directory structure is generated, workflow agents are called for multi-source search and chart generation, and LLM model is subject to compliance review to realize real-time synchronization and intelligent generation of data.
It realizes the intelligent and automated generation of geological disaster prevention and control reports, improves the efficiency and accuracy of report generation, reduces manual adjustment time, avoids data dispersion and omission of key information, and improves the coordination of internal and external data and the real-time report.