Data analysis method, device and equipment based on large language model, and medium
CN122388129BActive Publication Date: 2026-08-28LUOBO NETWORK (HANGZHOU) INFORMATION TECHNOLOGY CO LTD
Patent Information
- Application Number
- CN202610847129.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2026-06-11
- Publication Date
- 2026-08-28
- Estimated Expiration
- 2046-06-11
AI Technical Summary
Technical Problem
[0003]本申请实施例提供了一种基于大语言模型的数据分析方法、装置、设备及介质,用于解决无法实时根据分析需求获取所需的数据和分析内容,以及输出并展示的数据和分析内容展示效率低下的问题
Benefits of technology
通过在预设界面的第一区域展示输入框,实现为用户输入待分析的内容提供入口,通过响应于至少一次分析操作,依次展示对应于每次分析结果,实现了在每次分析操作后,系统实时推送分析结果至预设界面,便于用户基于当前展示的分析结果继续进行下一次的分析操作;
✦ Generated by Eureka AI based on patent content.
Smart Images

Figure CN122388129B_ABST
Abstract
The embodiment of the application provides a data analysis method and device based on a large language model, equipment and medium, relates to the technical field of computers, and is applied to a data analysis system. The method comprises the following steps: displaying an input box in a first area of a preset interface; in response to at least one analysis operation, sequentially displaying analysis results corresponding to each analysis operation; the analysis operation comprises the following steps: in response to analysis instruction text input in the input box, determining, by a large language model, the analysis result corresponding to the analysis instruction text according to the analysis instruction text; in the case that the analysis instruction text comprises first text, the analysis result corresponding to the first text comprises target data and analysis content for the target data, the first text comprises an analysis intention for a mine car operation, the analysis content is displayed in the first area, and the target data is displayed in a second area. The application realizes the acquisition of target data and analysis content according to an analysis intention, and improves the display efficiency of the analysis content and the target data.
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Citation Information
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