摘要
面对开源情报分析日益增长的高效处理需求,利用云端大语言模型虽可提升效率,但存在情报数据安全隐患。为此,本文设计了一套可部署于离线网络的开源情报辅助分析系统,通过本地大语言模型实现对多格式文档的批量自动翻译与智能分析。系统基于WPS的COM接口及OCR工具,统一处理PDF、Word、Excel等文档;利用词嵌入模型计算文档相关性,并调用本地大语言模型完成摘要生成与中英互译。测试结果表明,该系统能够自动完成格式转换、OCR识别、批量翻译、相关性排序及摘要生成等一系列处理任务。
In response to the growing demand for efficient processing of open-source intelligence analysis,utilizing cloud-based large language models can enhance efficiency,but it poses potential security risks to intelligence data.To address this,this paper designs an open-source intelligence auxiliary analysis system that can be deployed on offline networks.This system achieves batch automatic translation and intelligent analysis of multi-format documents through a local large language model.Based on the COM interface of WPS and OCR tools,the system uniformly processes documents such as PDF,Word,and Excel.It utilizes a word embedding model to calculate document relevance and invokes a local large language model to generate summaries and perform Chinese-English translation.Test results show that the system can automatically complete a series of processing tasks,including format conversion,OCR recognition,batch translation,relevance sorting,and summary generation.
作者
陈旖
徐子凌
CHEN Yi;XU Ziling(Department of Computer and Information Security Management,Fujian Police College,Fuzhou,China,350007)
出处
《福建电脑》
2025年第12期61-64,共4页
Journal of Fujian Computer
基金
福建省教育厅中青年教师教育科研项目(No.JAT210354)资助。
关键词
开源情报分析
本地大语言模型
离线部署
Open Source Intelligence Analysis
Local Large Language Model
Offline Deployment
