Wind resource assessment report generation method based on large model technology

Through multi-source data processing, field adaptive RAG enhancement and automated report generation by large-scale model technology, data fusion limitations and artificial dependence problems of traditional wind resource assessment methods are solved, and the intelligent and efficient generation of wind resource assessment reports is realized, and efficient decision-making of wind power projects is supported.

CN120470107AActive Publication Date: 2025-08-12CHONGQING UNIV
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Patent Information

Application Number
CN202510611883.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-05-13
Publication Date
2025-08-12
Estimated Expiration
2045-05-13

AI Technical Summary

Technical Problem

Traditional wind resource evaluation methods rely on manual experience, and have problems such as data fusion limitations, low processing efficiency, poor analysis consistency, insufficient standardization, low report generation efficiency and lag in knowledge updates, which are difficult to meet the needs of rapid assessment and intelligent decision-making.

Method used

The wind resource evaluation report generation method based on large model technology is adopted, through multi-source data processing, domain adaptive RAG enhancement and automated report generation, RAG technology and dynamic optimization strategies are used to build a domain knowledge base, perform multi-modal fusion word vector technology and gradient-free optimization algorithm, and realize intelligent data extraction and automatic report generation.

Benefits of technology

It significantly improves the accuracy, professionalism and efficiency of wind resource assessment reports, reduces manual dependence, improves data utilization and standardization level, supports efficient and intelligent decision-making, and promotes the large-scale development and digital transformation of clean energy.

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Abstract

The invention discloses a wind resource assessment report generation method based on a large model technology. The method comprises the following steps: processing multi-source data, and constructing a domain knowledge base and a fine tuning database; field adaptive RAG enhancement is carried out, professional literatures, historical cases and industry specifications in a field knowledge base are retrieved by adopting a retrieval enhancement generation technology, and wind resource assessment contents meeting technical standards are generated through a multi-modal fusion word vector technology; performing large model fine tuning, and optimizing the generative large model through a gradient-free optimization algorithm Wind-DFO on the basis of a fine tuning database by adopting a field self-adaptive fine tuning strategy; and automatically generating a report, arranging and matching multiple templates through an AI workflow, embedding a data visualization chart, executing verification of a grammar layer, a logic layer and a compliance layer, and outputting a standardized wind resource assessment report. The accuracy, specialty and efficiency of report generation are remarkably improved, and the problems that a traditional method depends on artificial experience, the data utilization efficiency is low, and standardization is insufficient are solved.
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