Man-machine interaction method and system based on large language model, computer device and storage medium

By using a human-computer interaction method based on a large language model, combined with a structured knowledge base and an intelligent question-answering model, the problems of low retrieval efficiency, cumbersome meeting management, and delayed compliance response in existing technologies have been solved, achieving an efficient and accurate office experience.

CN122416993APending Publication Date: 2026-07-17QINZHOU POWER SUPPLY BUREAU OF GUANGXI POWER GRID CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
QINZHOU POWER SUPPLY BUREAU OF GUANGXI POWER GRID CO LTD
Filing Date
2026-04-14
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

In existing technologies, keyword matching-based retrieval methods are difficult to accurately locate complex policy clauses, requiring users to manually filter through a large number of documents, resulting in low retrieval efficiency. Manual transcription and minutes organization in meeting management are costly and prone to missing information, while compliance consultation responses are delayed, failing to meet the demand for an efficient and accurate office experience.

Method used

A human-computer interaction method based on a large language model is adopted, which uses a structured knowledge base for semantic understanding and contextual retrieval to generate accurate search results; a meeting management model is used for speech recognition and semantic parsing to automatically generate structured meeting minutes; and an intelligent question-answering model is used to match regulatory clauses in the structured knowledge base to generate compliant answers that include the source of the evidence.

Benefits of technology

It enables precise location within complex institutional clauses, improves retrieval efficiency and accuracy, automates the generation of meeting minutes, reduces the risk of information omissions, shortens the waiting time for compliance decisions, and achieves intelligent enhancement of the office interaction process.

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Abstract

本申请公开了一种基于大语言模型的人机交互方法、系统、计算机设备及存储介质,涉及人工智能技术领域,实现办公交互过程的智能化提升。所述方法包括:在接收到制度检索请求的情况下,调用办公域通用模型基于预先构建的结构化知识库对制度检索请求进行语义理解,执行上下文关联检索,生成检索结果并输出,其中,结构化数据库通过对多源制度文档进行层级化拆解与实体关系构建得到;在接收到会议管理请求的情况下,基于会议管理模型对会议音频数据进行语音识别与语义解析,生成包含会议要点与待办事项的结构化会议纪要并输出;在接收到合规咨询请求的情况下,基于智能问答模型,在结构化知识库中匹配制度条款,生成包含依据来源的合规解答并输出。
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